Author: "Université de la Manouba [Tunisie] (UMA)" / Topic: [info.info-ni]computer science [cs]/networking and internet architecture [cs.ni] - Searchworks@Jio Institute Digital Library Search Results

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114 results on '"Université de la Manouba [Tunisie] (UMA)"'

1. Multi-Attribute Monitoring for Anomaly Detection: a Reinforcement Learning Approach based on Unsupervised Reward

Author: Said Frikha, Mohamed, Mettali Gammar, Sonia, Lahmadi, Abdelkader, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems (RESIST), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Networks, Systems and Services (LORIA - NSS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), and Lahmadi, Abdelkader
Subjects: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Deep Reinforcement Learning, Internet of Things, Outlier detection, Unsupervised Learning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract: International audience; This paper proposes a new method to solve the monitoring and anomaly detection problems of Low-power Internet of Things (IoT) devices. However, their performances are constrained by limited processing, memory, and communication, usually using battery-powered energy. Polling driven mechanisms for monitoring the security, performance, and quality of service of these networks should be efficient and with low overhead, which makes it particularly challenging. The present work proposes the design of a novel method based on a Deep Reinforcement Learning (DRL) algorithm coupled with an Unsupervised Learning reward technique to build a pooling monitoring of IoT networks. This combination makes the network more secure and optimizes predictions of the DRL agent in adaptive environments.
Published: 2021

2. Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey

Author: Laurent Andrey, Abdelkader Lahmadi, Mohamed Said Frikha, Sonia Mettali Gammar, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems (RESIST), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Networks, Systems and Services (LORIA - NSS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), and Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Computer Networks and Communications, Computer science, Internet of Things, Wearable computer, 02 engineering and technology, computer.software_genre, Scheduling (computing), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Complete information, Reinforcement learning, 0202 electrical engineering, electronic engineering, information engineering, Wireless, Deep reinforcement learning, Wireless Networks, Multimedia, business.industry, 020206 networking & telecommunications, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Drone, Identification (information), Resource allocation, 020201 artificial intelligence & image processing, business, computer
Abstract: International audience; Nowadays, many research studies and industrial investigations have allowed the integration of the Internet of Things (IoT) in current and future networking applications by deploying a diversity of wireless-enabled devices ranging from smartphones, wearables, to sensors, drones, and connected vehicles. The growing number of IoT devices, the increasing complexity of IoT systems, and the large volume of generated data have made the monitoring and management of these networks extremely difficult. Numerous research papers have applied Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL) techniques to overcome these difficulties by building IoT systems with effective and dynamic decision-making mechanisms, dealing with incomplete information related to their environments. The paper first reviews pre-existing surveys covering the application of RL and DRL techniques in IoT communication technologies and networking. The paper then analyzes the research papers that apply these techniques in wireless IoT to resolve issues related to routing, scheduling, resource allocation, dynamic spectrum access, energy, mobility, and caching. Finally, a discussion of the proposed approaches and their limits is followed by the identification of open issues to establish grounds for future research directions proposal.
Published: 2021

3. EMA-RPL: Energy and mobility aware routing for the Internet of Mobile Things

Author: Marion Berbineau, Saad Al-Ahmadi, Maha Bouaziz, Abdelfettah Belghith, Abderrezak Rachedi, Département Composants et Systèmes (IFSTTAR/COSYS), PRES Université Lille Nord de France-PRES Université Nantes Angers Le Mans (UNAM)-Université de Lyon-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon-PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Lille Nord de France, and Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS)
Subjects: Routing protocol, Computer Networks and Communications, Computer science, business.industry, Node (networking), 020206 networking & telecommunications, Context (language use), 02 engineering and technology, Energy consumption, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Handover, Hardware and Architecture, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, The Internet, Routing (electronic design automation), business, ComputingMilieux_MISCELLANEOUS, Software, Computer network
Abstract: Internet of Mobile Things (IoMT) is a new paradigm of the Internet of Things (IoT) where devices are inherently mobile. While mobility enables innovative applications and allows new services, it remains a challenging issue as it causes disconnection of nodes and intermittent connectivity, which negatively impacts the network operation and performance. In addition, energy saving presents a real challenge for networks with limited resources. In this context, a new energy efficient and mobility aware routing protocol called EMA-RPL is proposed based on the well-known Routing Protocol for Low power and Lossy Networks (the RPL standard). Unlike the RPL which is basically designed for static devices, EMA-RPL enables better sustaining of connectivity of mobile nodes and conserving energy. The proposed protocol integrates an enhanced mobility detection method through a continuous control of the distance between the mobile node and its attachment, a novel point of attachment prediction based on the new location of the mobile node, and an efficient replacement strategy preserving the mobile node energy. EMA-RPL overcomes and mitigates problems caused by the mobility of nodes. Simulations using Cooja/Contiki show that EMA-RPL outperforms both the RPL and its mobility aware variant (MRPL) in terms of handover delay, data loss rate, signaling cost and energy consumption.
Published: 2019

4. Using Information Centric Networking in Internet of Things: A Survey

Author: Abdelkader Lahmadi, Leila Azouz Saidane, Dorra Mars, Sonia Mettali Gammar, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Université de la Manouba [Tunisie] (UMA), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems (RESIST), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Networks, Systems and Services (LORIA - NSS), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), and Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Computer science, business.industry, 020206 networking & telecommunications, Context (language use), 02 engineering and technology, Information Centric Networking (ICN), Internet of Things (IoT), Computer Science Applications, World Wide Web, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Information-centric networking, Applications, Scalability, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Electrical and Electronic Engineering, Internet of Things, business, Dissemination
Abstract: International audience; Internet of Things (IoT) is increasingly deployed in different domains and environments including smart homes, smart cities, healthcare, industry 4.0, and smart agriculture, by connecting a large number of physical objects to deliver a new class of applications. The rising number of these connected objects and their heterogeneity have raised new research directions and challenges regarding their communications, scalability and the large amount of data that generate. As a result, new communication technologies have been proposed to be applied in these environments and applications, mainly to consider their main inherent properties which are the information that generate and handle, and the content that disseminate. Among the adopted techniques and recently integrated into the IoT is the ICN (Information Centric Networking) paradigm. The choice of integration of ICN in the context of IoT is mainly motivated by all the advantages it represents, in particular content caching and decoupling senders and receivers. In this paper, we provide a detailed analysis of the motivations behind using ICN in IoT environments and a survey of existing research work that have already applied ICN as a communication support for IoT applications.
Published: 2019

5. A new Taxonomy of Physical-Layer Network Coding techniques in Two Way Relay Channel model with single antenna

Author: Aissaoui, Mohammed, Houaidia, Chiraz, Bossche., Adrien van den, Val, Thierry, Azouz Saidane, Leila, Val, Thierry, Université Aboubekr Belkaid - University of Belkaïd Abou Bekr [Tlemcen], Université de la Manouba [Tunisie] (UMA), Réseaux, Mobiles, Embarqués, Sans fil, Satellites (IRIT-RMESS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), IFIP WG 6.2, and IEEE ComSoc [TCIIN, TCCS, CNOM]
Subjects: wireless networks, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], SISO, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], TWRC, PNC, colli- sions
Abstract: International audience; Physical-layer network coding (PNC) can effectively improve wireless networks by extracting superimposed signals and transforming collision’s dilemma into an advantage. The proposition of higher layer methods (such as Data Link and Network Layer) explicitly designed for PNC can better enhance wireless network performances. Since the field of PNC is very vast and has several applications, the researchers of the higher layers find it very difficult to propose a suitable PNC system for their research, which has led to the scarcity of research works of this type. This article proposes a new classification method designed to help researchers choose the optimal method that suits their system. This paper is a complete guide for researchers of higher layers to discover the PNC field and improve wireless network performances.
Published: 2021

6. Leveraging Reinforcement Learning for Adaptive Monitoring of Low-Power IoT Networks

Author: Abdelkader Lahmadi, Mohamed Said Frikha, Sonia Mettali Gammar, Laurent Andrey, École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria), Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems (RESIST), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Networks, Systems and Services (LORIA - NSS), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), and Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 050101 languages & linguistics, business.industry, Computer science, Network packet, 05 social sciences, Real-time computing, Adaptive monitoring, 02 engineering and technology, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Power (physics), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0202 electrical engineering, electronic engineering, information engineering, Reinforcement learning, 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, Polling, Internet of Things, business
Abstract: International audience; Low-power Internet of Things (IoT) networks are widely deployed in various environments with resource constrained devices, making their states monitoring particularly challenging. In this paper, we propose an adaptive monitoring mechanism for low-power IoT devices, by using a reinforcement learning (RL) method to automatically adapt the polling frequencies of the collected attributes. Our goal is to minimize the number of monitoring packets while keeping accurate and timely detection of threshold crossings associated to supervised attributes. We study the various RL parameter settings under different monitoring attribute behaviors using OpenAi Gym simulator. We implement the RL based adaptive polling in Contiki OS and we evaluate its performance using Cooja simulator. Our results show that our approach converges to optimal polling frequencies and outperforms static periodic notification-based methods by reducing the number of monitoring packets, with a percentage of correctly detected threshold crossings exceeding 80%.
Published: 2020

7. Impact of Road Gradient on Electric Vehicle Energy Consumption in Real-World Driving

Author: Farouk Kamoun, Insaf Sagaama, Wassim Trojet, Amine Kchiche, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Pôle Instrumentation, Informatique et Systèmes, Institut de Recherche en Systèmes Electroniques Embarqués (IRSEEM), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC), and École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC)
Subjects: 050210 logistics & transportation, business.product_category, Computer science, 020209 energy, 05 social sciences, Traffic simulation, 02 engineering and technology, Energy consumption, 7. Clean energy, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Automotive engineering, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 13. Climate action, 0502 economics and business, Electric vehicle, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET], business, Energy (signal processing), ComputingMilieux_MISCELLANEOUS, Efficient energy use
Abstract: With serious concerns on environmental problems related to CO\(_{2}\) emissions and energy crisis, special attention has recently been paid to Electric Vehicles (EVs). Specifically, an accurate estimation of energy consumption for EV is still a big issue. Therefore, quantifying the impact of various external factors on EV energy consumption, such as road topology, driver profile and traffic conditions is a necessity. In this paper, we review the energy consumption models for EVs. Then, we analyze the impact of the road gradient on EV energy consumption through a set of real world experimentations. The obtained results, allow us to better understand the impact of upward and downward gradient on both energy consumption and energy recuperation processes.
Published: 2020

8. An Orthogonal Air Pollution Monitoring Method (OAPM) Based on LoRaWAN

Author: Rahim Haiahem, Pascale Minet, Selma Boumerdassi, Leila Azouz Saidane, Réseau, Application, Mtrologie, système, Intelligence, Scurit [Manouba] (RAMSIS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Wireless Networking for Evolving & Adaptive Applications (EVA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), CEDRIC. Réseaux et Objets Connectés (CEDRIC - ROC), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), and HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)
Subjects: LoRaWAN reliability, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Air pollution monitoring, lcsh:T, [SDE.IE]Environmental Sciences/Environmental Engineering, lcsh:Technology, Network synchronization, LoRaWAN scalability, LoRaWAN
Abstract: International audience; High accuracy air pollution monitoring in a smart city requires the deployment of a huge number of sensors in this city. One of the most appropriate wireless technologies expected to support high density deployment is LoRaWAN which belongs to the Low Power Wide Area Network (LPWAN) family and offers long communication range, multi-year battery lifetime and low cost end devices. It has been designed for End Devices (EDs) and applications that need to send small amounts of data a few times per hour. However, a high number of end devices breaks the orthogonality of LoRaWAN transmissions, which was one of the main advantages of LoRaWAN. Hence, network performances are strongly impacted. To solve this problem, we propose a solution called OAPM (Orthogonal Air Pollution Monitoring) which ensures the orthogonality of LoRaWAN transmissions and provides accurate air pollution monitoring. In this paper, we show how to organize EDs into clusters and sub-clusters, assign transmission times to EDs, configurate and synchronize them, taking into account the specificities of LoRaWAN and the features of the air pollution monitoring application. Simulation results corroborate the very good behavior of OAPM.
Published: 2020

9. A New Dynamic Urban Environment Air Pollution Monitoring Protocol Using WAVE (DAP-MP)

Author: Haiahem Rahim, Leila Azouz Saidane, Selma Boumerdassi, École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), CEDRIC. Réseaux et Objets Connectés (CEDRIC - ROC), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), and Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)
Subjects: Pollution, [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], Computer science, media_common.quotation_subject, Real-time computing, Air pollution, 02 engineering and technology, medicine.disease_cause, Network simulation, [INFO.INFO-MC]Computer Science [cs]/Mobile Computing, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0203 mechanical engineering, Criteria air contaminants, 11. Sustainability, Environmental monitoring, 0202 electrical engineering, electronic engineering, information engineering, medicine, Wireless, IEEE 802.11p, Respiratory system, ComputingMilieux_MISCELLANEOUS, media_common, business.industry, 020302 automobile design & engineering, 020206 networking & telecommunications, 13. Climate action, Cellular network, business, Wireless sensor network
Abstract: Today, the existence of several air pollution sources, such as household, transportation and industrial activities, increases the levels of air criteria pollutants in the urban areas and thus causes premature deaths, cardiovascular diseases and acute respiratory infections. To control the pollution levels, wireless technologies, like Wireless Sensor Networks (WSNs), Vehicular Sensor Networks (VSNs) and cellular networks, have become intensively adopted to collect real world data and to transmit decisions to people and interested governments in real time. Within this framework, we developed a new dynamic air pollution monitoring protocol using a communication model dedicated to enable wireless access for mobile objects. Based on Network Simulator 3 (NS-3), the obtained experimental results show that our solution can be applied to control the air data with better performance either in low or high density of vehicles in the regions of interest.
Published: 2020

10. AFIRM: Adaptive forwarding based link recovery for mobility support in NDN/IoT networks

Author: Abdelfettah Belghith, Amine Dhraief, Thierry Monteil, Sofien Gannouni, Maroua Meddeb, Khalil Drira, Équipe Services et Architectures pour Réseaux Avancés (LAAS-SARA), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), King Saud University [Riyadh] (KSU), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), and Université Fédérale Toulouse Midi-Pyrénées
Subjects: Computer Networks and Communications, business.industry, Computer science, [INFO.INFO-WB]Computer Science [cs]/Web, 020206 networking & telecommunications, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], 02 engineering and technology, Network dynamics, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Hardware and Architecture, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET], 020201 artificial intelligence & image processing, business, Internet of Things, Software, Computer network
Abstract: International audience; The Internet of Things (IoT) ecosystem includes a plethora of devices equipped with heterogeneous communication interfaces. They exhibit different mobility patterns and hardware constraints as memory, battery and processing power. On the other hand, IoT applications are overlayed on top of these constrained-devices imposing stringent requirements in term of data availability, data coherence, and response latency. To cope with these challenges, Named Data Networking (NDN) architecture is positioned in the middle layer to act as the networking layer. By providing easy data access thanks to the unique and location-independent content names, in-network caching and name-based routing, NDN expects to hide from IoT applications the complexity and diversity of the underlying Things by adapting the network operation to their features. In this paper, we focus on data availability requirements threatened by high IoT network dynamics related to sensors mobility. We address the producer mobility issue in NDN/IoT networks using the routing-based approach. We propose a novel and efficient forwarding algorithm named AFIRM in order to support producer mobility, and compare its performances to those of other relevant solutions based on the routing approach.
Published: 2018

11. Cache Freshness in Named Data Networking for the Internet of Things

Author: Amine Dhraief, Maroua Meddeb, Saad Al-Ahmadi, Abdelfettah Belghith, Thierry Monteil, Khalil Drira, Équipe Services et Architectures pour Réseaux Avancés (LAAS-SARA), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), King Saud University [Riyadh] (KSU), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), and Université Fédérale Toulouse Midi-Pyrénées
Subjects: IoT, General Computer Science, business.industry, Computer science, 020206 networking & telecommunications, 02 engineering and technology, Content based networking, NDN, In-network caching, ICN, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Data access, Freshness, Models of communication, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Process costing, Cache, Latency (engineering), Architecture, business, Internet of Things, Cache cost, Computer network
Abstract: International audience; The Information-Centric Networking (ICN) paradigm is shaping the foreseen future Internet architecture by focusing on the data itself rather than its hosting location. It is a shift from a host-centric communication model to a content-centric model supporting among others unique and location-independent content names, in-network caching and name-based routing. By leveraging the easy data access, and reducing both the retrieval delay and the load on the data producer, the ICN can be a viable framework to support the Internet of Things (IoT), interconnecting billions of heterogeneous constrained objects. Among several ICN architectures, the Named Data Networking (NDN) is considered as a suitable ICN architecture for IoT systems. However, its default caching approach lacks a data freshness mechanism, while IoT data are transient and frequently updated by the producer which imposes stringent requirements in terms of information freshness. Furthermore, IoT devices are usually resource-constrained with harsh limitations on energy, memory and processing power. We propose in this paper a caching strategy and a novel cache freshness mechanism to monitor the validity of cached contents in an IoT environment while minimizing the caching process cost. We compared our solution to several relevant schemes using the ccnSim simulator. Our solution exhibits the best system performances in terms of hop reduction ratio, server hit reduction ratio and response latency, yet it provides the lowest cache cost and significantly improves the content validity.
Published: 2018

12. UAV-GCS Centralized Data-Oriented Communication Architecture for Crowd Surveillance Applications

Author: Farouk Kamoun, Hichem Snoussi, Amira Chriki, Haifa Touati, École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), University of Gabes, Laboratoire Modélisation et Sûreté des Systèmes (LM2S), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), and Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)
Subjects: Class (computer programming), business.industry, Computer science, Event (computing), 05 social sciences, 050801 communication & media studies, 020207 software engineering, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 02 engineering and technology, Intervention (law), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, Transmission (telecommunications), Models of communication, 0202 electrical engineering, electronic engineering, information engineering, Bandwidth (computing), business, Computer network
Abstract: International audience; In recent years, a large number of researchers investigate the conception of systems that use a unique Unmanned Ariel Vehicles (UAV) or multiple independent UAVs to conduct civil or military missions, with minimal human intervention. In this paper we focus on using multiple UAVs to cooperatively monitor a crowded area. Communication in such UAVs network is an ongoing project. Due to the lack of proper communication standards and rules, designing a reliable communication model is essential for: (i) multi-UAV coordination, (ii) efficient bandwidth sharing according to data priority and urgency and (iii) avoiding useless transmission of the same data by multiple UAVs. To address the above challenges, we propose a centralized data-oriented communication architecture for crowd surveillance allocations using an UAV fleet. The Ground Control Station (GCS) is used as a central coordinator to manage bandwidth usage for the UAV fleet in its coverage area. To allow UAVs to send priority messages urgently to the GCS, we define two classes of urgent messages: critical state and important result. The class of the data as well as other relevant information about the detected event will be used by the GCS to authorize or not UAV data transmission and hence to optimize the bandwidth usage efficiency.
Published: 2019

13. Least fresh first cache replacement policy for NDN-based IoT networks

Author: Maroua Meddeb, Khalil Drira, Hassan Mathkour, Thierry Monteil, Amine Dhraief, Abdelfettah Belghith, Équipe Services et Architectures pour Réseaux Avancés (LAAS-SARA), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Department of Computer Engineering, King Faisal University, Al-Ahsa, Kingdom of Saudi Arabia, King Faisal University (KFU), College of Computer and Information Sciences [Riyadh], King Saud University [Riyadh] (KSU), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), and Université Fédérale Toulouse Midi-Pyrénées
Subjects: Hardware_MEMORYSTRUCTURES, Computer Networks and Communications, Computer science, business.industry, [INFO.INFO-WB]Computer Science [cs]/Web, 020206 networking & telecommunications, 02 engineering and technology, Content based networking, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], Reduction ratio, Computer Science Applications, Hop (networking), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Hardware and Architecture, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET], Cache, Latency (engineering), business, Internet of Things, Dissemination, Software, Information Systems, Computer network
Abstract: International audience; In-network caching in Named Data Networking (NDN) based Internet of Things (IoT) plays a central role for efficient data dissemination. Data cached throughout the network may quickly become obsolete as they are transient and frequently updated by their producers. As such, NDN-based IoT networks impose stringent requirement in terms of data freshness. While various cache replacement policies were proposed, none has considered the cache freshness requirement. In this paper, we introduce a novel cache replacement policy called Least Fresh First (LFF) integrating the cache freshness requirement. LFF evicts invalid cached contents based on time series forecasting of sensors future events. Extensive simulations are performed to evaluate the performance of LFF and to compare it to the different well-known cache replacement policies in ICN-based IoT networks. The obtained results show that LFF significantly improves data freshness compared to other policies, while enhancing the server hit reduction ratio, the hop reduction ratio and the response latency.
Published: 2019

14. Virtualized network services extension algorithms

Author: Omar Houidi, Farouk Kamoun, Djamal Zeghlache, Wajdi Louati, Oussama Soualah, Département Réseaux et Services Multimédia Mobiles (RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Unité de Recherche en développement et contrôle d'applications distribuées (REDCAD), École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), and Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)
Subjects: Computer science, Network functions viirtualization, 020206 networking & telecommunications, Integer programming, 02 engineering and technology, Eigendecomposition, Heuristic programming, Virtualisation, Graph, Graph theory, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Integer linear programming, VNF forwarding graph extension, Server, Linear programming, 0202 electrical engineering, electronic engineering, information engineering, Algorithm
Abstract: International audience; This work presents algorithms to extend tenant Virtualized Network Functions Forwarding Graphs (VNF-FG) to embed new networking functions and introduce gradually additional services into the already deployed tenant dedicated slices. The related service graph extension problem is addressed through an Integer Linear Programming (ILP) algorithm that serves as a reference for performance comparisons with a proposed heuristic algorithm. An eigendecomposition approach is proposed, evaluated and compared
Published: 2018

15. Extensive Experimentations on Opportunistic Routing in Wireless Sensor Networks

Author: Ichrak Amdouni, Cedric Adjih, Nadjib Aitsaadi, Paul Muhlethaler, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), National Engineering School of Sousse / Ecole Nationale d'Ingénieurs de Sousse (ENISo), Ecole Nationale d'Ingénieurs de Sousse (ENISo), INFormation NEtworks (INFINE-POST), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Wireless Networking for Evolving & Adaptive Applications (EVA), and Inria de Paris
Subjects: Routing protocol, LDPC, Computer science, Routing table, 02 engineering and technology, lcsh:Chemical technology, 01 natural sciences, Biochemistry, Article, Low duty-cycle, Analytical Chemistry, Hop (networking), law.invention, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Relay, law, 0202 electrical engineering, electronic engineering, information engineering, Arduino, lcsh:TP1-1185, Electrical and Electronic Engineering, Low-density parity-check code, Instrumentation, Experimentation, Opportunistic routing, Network packet, business.industry, 010401 analytical chemistry, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Multimedia traffic, 020206 networking & telecommunications, Energy consumption, Atomic and Molecular Physics, and Optics, 0104 chemical sciences, WSNs, Duty cycle, business, Wireless sensor network, Computer network
Abstract: International audience; In this paper, we design and experiment ODYSSE (Opportunistic Duty cYcle based routing protocol for wirelesS Sensor nEtworks) protocol. It combines three main mechanisms: (i) duty cycle, where nodes alternate between active and sleep states, (ii) opportunistic routing where routing tables do not exist and the next hop is elected once the packet arrives, and (iii) source coding with LDPC (Low-Density Parity-Check) codes in order to face packet losses while minimizing energy consumption. We focus on two heterogeneous scenarios: bulk image transmission and infrequent events reporting. Modeling the average waiting delay of forwarders, we show that simple relay selection strategies are effective. We used 45 Arduino nodes communicating with IEEE 802.15.4 (XBee) within the large platform FIT IoT-LAB (IoT-LAB is part of the large platform FIT: Future Internet of Things). We implement and extensively study the behavior and performance of our proposal ODYSSE. We show that the three techniques fit perfectly, yielding a robust low complexity protocol for highly constrained nodes in typical IoT applications.
Published: 2018

16. Joint Optimization of Resource and Power Allocation in Heterogeneous Urban Dense Cellular Networks

Author: Rami Langar, Amira Bezzina, Leila Azouz Saidane, Mouna Ayari, Phare, LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Rami, Langar, and Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS)
Subjects: Optimization problem, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Computer science, Distributed computing, 05 social sciences, 050801 communication & media studies, 020206 networking & telecommunications, Throughput, 02 engineering and technology, [INFO] Computer Science [cs], Transmitter power output, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, Cellular network, Resource allocation, Resource management, [INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS, Power control
Abstract: In this paper, we propose a joint power control and resource allocation approach for co-channel deployed high dense small-cells in macro-cell networks, denoted as Two-tier Optimized Resource and Power Allocation approach (TORPA). The ultimate goal of our contribution is to mitigate the co-tier and cross-tier interference faced by indoor and outdoor users in downlink communications and efficiently satisfy their resource requirements. With this in mind, we formulate the resulting optimization problem as a Mixed-Integer Linear Program (MILP) that aims to minimize the total transmit power and achieve an efficient two-tier physical resource allocation. Then, we propose a semi-centralized scheme to solve it. Extensive simulations show that TORPA can efficiently allocate power and distribute spectrum resources to both Small-cell Users (SUs) and Macro-Users (MUs) compared to the distributed resource allocation scheme and a prominent state of the art gametheoretic approach. In particular, TORPA improves the SU’s throughput by up to 9 times and 22% in comparison to these both schemes.
Published: 2018

17. QCH-MAC: A Qos-aware Centralized Hybrid MAC protocol for Vehicular Ad Hoc NETworks

Author: Mohamed Hadded, Leila Azouz Saidane, Anis Laouiti, Narjes Boulila, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Robotics & Intelligent Transportation Systems (RITS), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Réseaux et Services Multimédia Mobiles (RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), and Département Réseaux et Services Multimédia Mobiles (TSP - RS2M)
Subjects: VANET, Transmission delay, Wireless ad hoc network, Computer science, Time division multiple access, Hybrid MAC, Access control, Context (language use), Throughput, 02 engineering and technology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0202 electrical engineering, electronic engineering, information engineering, 802.11p, Vehicular ad hoc network, business.industry, Quality of service, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020206 networking & telecommunications, CSMA/CA, Ad hoc network, EDCA, TDMA, 020201 artificial intelligence & image processing, business, Carrier sense multiple access with collision avoidance, Computer network, Communication channel
Abstract: International audience; The standard IEEE 802.11p was proposed to support the rapid exchange of data between the vehicles themselves and between the vehicles and the RSU (Road Side Unit). Besides, the Medium Access Control (MAC) protocols in Vehicular Ad-hoc Network (VANET), presented in the literature, have many weaknesses in supporting real time traffic. Indeed, some of them combine the advantage of TDMA with CSMA/CA to organize the channel access, therefore collisions may occur when safety messages are transmitted. In the context of hard real time, meeting deadlines requires prior knowledge of the possible communications between vehicles. Thus, we introduce an extension of the Enhanced Distributed Channel Access (EDCA) defined in IEEE 802.11p combined with TDMA, called Qos-aware Centralized Hybrid MAC protocol (QCHMAC). To evaluate our proposed protocol, we implemented it in ns-3 and we used the simulator SUMO to generate vehicular mobility traces. The simulation results reveal that QCH-MAC significantly outperforms pure TDMA in terms of transmission delay, packet loss rate and network throughput
Published: 2018

18. Cluster-based Scheduling for Cognitive Radio Sensor Networks

Author: Leila Azouz Saidane, Hanen Idoudi, Pascale Minet, Ons Mabrouk, Université de la Manouba [Tunisie] (UMA), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Wireless Networking for Evolving & Adaptive Applications (EVA), Inria de Paris, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Subjects: Schedule, General Computer Science, Computer science, business.industry, Cognitive radio sensor networks, Scheduling, 020302 automobile design & engineering, 020206 networking & telecommunications, Computational intelligence, Throughput, 02 engineering and technology, Collision, Clustering, Scheduling (computing), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, Cluster (physics), Cluster analysis, business, Communication channel, Computer network
Abstract: International audience; In this paper, we define a cluster based scheduling algorithm for Cognitive Radio Sensor Networks (CRSNs). To avoid inter-clusters collision, we assign fixed channels only to nodes having one-hop neighbors out of their clusters. We denote these nodes as specific nodes. Previous studies assign distinct channels to whole neighbor clusters to avoid inter-clusters collision. Our objective is to optimize the spatial reuse and to increase the network throughput while saving sensors energy. We start by assigning channels only to the specific nodes. Once the problem of inter-clusters collision is solved, each cluster head (CH) schedules the transmissions in its cluster independently. For the cluster members that are specific nodes, the CH assigns only time slots because the channel assignment is already done. For other cluster members (CMs) (not specific nodes), the CH assigns the pair (channel, slot). Two solutions are proposed in this paper to schedule the CMs: The Frame Intra Cluster Multichannel Scheduling algorithm denoted Frame-ICMS and the Slot Intra Cluster Multichannel Scheduling algorithm denoted Slot-ICMS. We evaluate the performance of these algorithms in case of accurate PUs activity detection and in case of bad PUs activity estimation. We prove that our proposals outperform an existing one especially in terms of energy saving.
Published: 2018

19. Hybrid centralised MAC protocol for reliable broadcast of safety messages in vehicular ad hoc network

Author: Narjes Boulila, Leila Azouz Saidane, Anis Laouiti, Mohamed Hadded, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Département Réseaux et Services Multimédia Mobiles (RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Robotics & Intelligent Transportation Systems (RITS), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), and Département Réseaux et Services Multimédia Mobiles (TSP - RS2M)
Subjects: VANET, Time division multiple access, Computer science, Wireless ad hoc network, Access method, Hybrid MAC, Access control, 02 engineering and technology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Network performance, Carrier sense multiple access with collision avoidance, Vehicular ad hoc network, business.industry, Node (networking), ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020207 software engineering, CSMA/CA, Ad hoc network, EDCA, TDMA, Enhanced distributed channel access, business, Computer network, IEEE 80211p
Abstract: International audience; Safety applications in Vehicular Ad-hoc Network (VANET) are used to reduce the number of accidents, which necessitates good Quality of Service (QoS), especially in some urgent cases and critical traffic. In fact, several Medium Access Control (MAC) protocols were proposed to provide high-performance for vehicular networks. For instance, the Contention-free MAC allows several vehicles to share the same communication channel. However, contention-based MAC protocols do not require any predefined schedule where each node competes for channel access when it needs to transmit data without any guarantee of success transmission. Hence, a hybrid MAC protocol that adopts Time Division Multiple Access (TDMA) and Carrier Sense Multiple Access (CSMA/CA) is required to enhance the network performance. Nevertheless, hybrid MAC protocols cannot ensure services differentiation so that critical messages and nonsecurity messages have the same priority. In this context and to overcome such limitation, this paper focuses on the design of a novel access method integrating TDMA and Enhanced Distributed Channel Access (EDCA) in unique architecture called Qos-aware Centralized Hybrid MAC protocol (QCH-MAC). To prove the efficiency of our proposal, the latter was implemented in ns-3 and the simulator SUMO to generate vehicular mobility traces. Therefore, experiments were performed to show the high performance of our system
Published: 2018

20. Contributions à l'amélioration des communications dans les réseaux sans fil multi-sauts

Author: Idoudi, Hanen, Val, Thierry, Université de la Manouba [Tunisie] (UMA), Réseau, Application, Mtrologie, système, Intelligence, Scurit [Manouba] (RAMSIS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Réseaux, Mobiles, Embarqués, Sans fil, Satellites (IRIT-RMESS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, UT2J, and Miklos MOLNAR
Subjects: stratégies de déploiement, Télécoms, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Wireless sensor networks, wireless Mesh networks, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], deployment strategies, routing, réseaux sans fil Mesh, réseaux sans fil radio cognitifs, réseaux de capteurs sans fil, Systèmes et Architecture, Contributions à l'amélioration des communications dans les réseaux sans fil multi-sauts ED MITT : Domaine STIC : Réseaux, cognitive radio networks, routage de données, clustering, organisation hiérarchique
Abstract: We rst focused on the problem of power-aware data collection in large-scale wireless sensor networks.We proposed various fault tolerant deployment and redeployment strategies to ensure full connectivityand optimal coverage and to ensure ecient data dissemination. Next, we investigated hierarchicalmethods and we assessed the interest of ecient spatial redundancy management of the sensors within theframework of a clustering mechanism. We have therefore studied and proposed energy-ecient routingstrategies by combining clustering with intelligent routing methods based on meta-heuristic approaches.Afterwards, we considered the use of cognitive radio within wireless sensor networks. We rstmodeled the joint time slot and frequency assignment scheduling problem of communications in cognitiveradio wireless sensors networks. Next, we proposed various spatial and temporal scheduling mechanisms,which operate either in centralized or hierarchical manner, reducing the total duration of schedulingof the cognitive sensors while reducing their energy consumption. Our proposals take into account theunexpected returns of primary users and the mobility of wireless sensors.In a third part, we considered the problem of quality of service oriented routing in metropolitan Meshwireless networks. Within the IEEE 802.11n standard, we are interested in deploying a Mesh networkand proposing new routing approaches that maximize the bandwidth oered to users. We proposednew routing metrics that capture the links availability. Our major contribution in this direction wasthe proposition of a novel metric that takes into account the inter and intra ow interferences and theproposal of a proactive routing protocol that uses this metric to select the optimal paths in terms ofavailable bandwidth., Nos travaux se sont intéressés en premier lieu au problème de collecte de données sous contrainte d'économied'énergie dans les réseaux de capteurs sans l large échelle. Nous avons d'abord proposé diversesstratégies de déploiement et de re-déploiement tolérant aux pannes qui visent à assurer une connectivitétotale et une couverture optimale et assurer une dissémination efficace des données. Nous nous sommespenchés ensuite sur la proposition de méthodes d'organisation hiérarchique des communications et nousavons montré l'intérêt d'une gestion efficace de la redondance spatiale des capteurs dans le cadre d'unmécanisme de clustering. Nous avons initialement proposé des stratégies de routage économes en énergieen combinant les approches d'organisation hiérarchique avec des méthodes de routage intelligentes.Dans un second volet, nous avons considéré l'adoption de la radio cognitive dans les réseaux decapteurs sans l. An de gérer efficacement l'accès opportuniste au spectre, nous avons formalisé d'abordle problème d'ordonnancement spatio-temporel des communications dans les réseaux de capteurs sans lradio cognitifs. Ensuite, nous avons proposé des mécanismes d'ordonnancement spatio-temporels, centralisés puis hiérarchiques, permettant de réduire la durée totale d'ordonnancement des capteurs touten réduisant leur consommation énergétique. Nos propositions tiennent compte des retours imprévus desutilisateurs primaires et de la mobilité des capteurs sans fil.Dans un troisième volet, nous avons considéré le problème de routage orienté qualité de service dansles réseaux sans fil Mesh métropolitains. Dans le cadre du standard IEEE 802.11n, nous nous intéressonsau déploiement d'un réseau Mesh et à la proposition de nouvelles approches de routage maximisant labande passante offerte aux utilisateurs. Nous avons proposé, dans cet axe, de nouvelles métriques deroutage orientées qualité de service. Notre contribution majeure a été la proposition d'une métrique quitient compte des interférences inter et intra flux ainsi qu'un protocole de routage proactif qui tient comptede cette métrique pour la recherche des meilleurs chemins en terme de bande passante disponible.
Published: 2018

21. Hop-by-Hop Congestion Control for Named Data Network

Author: Naceur Malouch, Safa Mejri, Farouk Kamoun, Haifa Touati, Networks and Performance Analysis (NPA), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), and IEEE
Subjects: Router, business.industry, Computer science, Flagging, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020206 networking & telecommunications, 02 engineering and technology, Content based networking, Hop (networking), Network congestion, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Models of communication, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, The Internet, business, Queue, Computer network
Abstract: International audience; Named Data Networking (NDN) is an Information Centric Networks (ICN) solution that has recently attracted significant attention. NDN changes the Internet communication paradigm from the host-to-host IP model, to a name based communication model. In NDN, the requested Data can be retrieved from different sources and through multiple paths. This distinguished feature of NDN makes the traditional end-to-end congestion control schemes flagging with this new architecture. In this paper, we present a Hop-by-hop congestion control mechanism to regulate the Interest rate between the consumer and the congested router. Each NDN router continuously monitors its outgoing queues occupancy. When the queue size exceeds or falls below a specified threshold, an explicit notification is sent to downstream routers and consumers. The consumer and routers along the path then react by adjusting their Interest sending rates according to the available rate specified in the received notification. We prove the efficiency of the proposed solution and its ability to reduce the congestion impact and to maintain fairness per consumer. We highlight the advantages of our solution using different scenarios implemented in ndnSIM.
Published: 2017

22. How to Cache in ICN-Based IoT Environments?

Author: Abdelfettah Belghith, Khalil Drira, Maroua Meddeb, Thierry Monteil, Amine Dhraief, Équipe Services et Architectures pour Réseaux Avancés (LAAS-SARA), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), College of Computer and Information Sciences [Riyadh], King Saud University [Riyadh] (KSU), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), and Université Fédérale Toulouse Midi-Pyrénées
Subjects: Hardware_MEMORYSTRUCTURES, Multicast, business.industry, Computer science, 020206 networking & telecommunications, 02 engineering and technology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Smart Cache, Scalability, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, The Internet, Cache, Latency (engineering), business, Internet of Things, Dissemination, Computer network
Abstract: International audience; Information-Centric Networking (ICN) is an emerging network paradigm based on name-identified data objects and in-network caching. Therefore, ICN contents are distributed in a scalable and cost-efficient manner. With the rapid growth of IoT traffic, ICN is intended to be a suitable architecture to support IoT networks. In fact, ICN provides unique persistent naming, in-network caching and multicast communications which reduce the data producer load and the response latency. Using ICN in an IoT environment requires a study of caching policies in terms of cache placement strategies and cache replacement policies. To this end, we address, in this paper, caching challenges with the aim to identify which caching policies are suitable for IoT networks. Simulation findings show that the combination of the consumer-cache caching strategy and the RR cache replacement policy is the most convenient in IoT environments in terms of hop reduction ratio, server hit reduction and response latency.
Published: 2017

23. Designing an energy efficient UAV tracking algorithm

Author: Leila Azouz Saidane, Hanen Idoudi, Benoit Escrig, Riadh Dhaou, Mouna Elloumi, Réseaux, Mobiles, Embarqués, Sans fil, Satellites (IRIT-RMESS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Signal et Communications (IRIT-SC), Institut National Polytechnique (Toulouse) (Toulouse INP), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Centre National de la Recherche Scientifique - CNRS (FRANCE), Ecole Nationale des Sciences de l'Informatique - ENSI (TUNISIA), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université de la Manouba - UMA (TUNISIA), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), and Université Toulouse 1 Capitole - UT1 (FRANCE)
Subjects: [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], 0209 industrial biotechnology, Computer science, Système d'exploitation, Réseaux et télécommunications, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 02 engineering and technology, Tracking (particle physics), Computer Science::Robotics, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 020901 industrial engineering & automation, 0203 mechanical engineering, Mobile target, Computer Science::Systems and Control, Architectures Matérielles, Limit (music), Unmanned Aerial Vehicle (UAV), Tracking, Camera field of view, 020302 automobile design & engineering, Energy consumption, Systèmes embarqués, [INFO.INFO-ES]Computer Science [cs]/Embedded Systems, Astrophysics::Earth and Planetary Astrophysics, [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS], Algorithm, Energy (signal processing), Efficient energy use
Abstract: International audience; In this paper, we present a solution for Unmanned Aerial Vehicle (UAV) energy saving problem while ensuring a continuous tracking of a mobile target. Our tracking algorithm is based on three zones, and according to the target placement in those zones, the UAV will do a specific type of actions. We proposed an additional zone called the authorized zone. In this zone, the UAV keeps a fixed velocity and a fixed altitude, and this contributes to the limitation of the energy consumption while also maintaining a minimal altitude. We also proposed an adapted criterion which considers the velocity, altitude and acceleration changes to evaluate the energy consumption. The idea here is to limit the number of the UAV adjustments to reduce the energy consumption and still keeping the target in its camera field of view.
Published: 2017

24. Synchronized Power Saving Mechanism for WiMAX Networks

Author: Bernard Cousin, Aymen Belghith, Mohammad S. Obaidat, Amal Walha, Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Advanced technologies for operated networks (ADOPNET), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec, Fordham University [New York], IEEE, Université de Rennes (UR)-IMT Atlantique (IMT Atlantique), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), and Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)
Subjects: WiMax, Computer science, Orthogonal frequency-division multiplexing, Throughput, 02 engineering and technology, Synchronization, 7. Clean energy, telecommunication power management, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], energy consumption, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, Throughput (business), energy conservation, business.industry, Quality of service, mobile communication, 020206 networking & telecommunications, Energy consumption, WiMAX, Energy conservation, quality of service, 020201 artificial intelligence & image processing, Mobile telephony, business, Computer network
Abstract: International audience; Power conservation mechanisms allow the operator to meet the QoS requirements of its customers while offering mobility service for longer duration. Therefore, it is essential to maximize the battery life of WiMAX equipments. In this paper, we study the mechanisms of power conservation already proposed for the WiMAX network. We then propose an improved mechanism for energy conservation in the IEEE802.16e standard, taking into account the characteristics of the WiMAX network. Finally, we evaluate the various mechanisms of energy conservation in terms of energy consumption, mean delivery time and management throughput. We show through extensive simulations that our proposed mechanism retains more energy while providing a better mean delivery time and decreasing the management throughput.
Published: 2017

25. TDMA-aware Routing Protocol for Multi-hop Communications in Vehicular Ad Hoc Networks

Author: Leila Azouz Saidane, Mohamed Hadded, Anis Laouiti, Paul Muhlethaler, Wireless Networking for Evolving & Adaptive Applications (EVA), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), and Centre National de la Recherche Scientifique (CNRS)
Subjects: Routing protocol, Dynamic Source Routing, Vehicular communication systems, Wireless ad hoc network, Computer science, Enhanced Interior Gateway Routing Protocol, Time division multiple access, Wireless Routing Protocol, 02 engineering and technology, Hop (networking), law.invention, Routing Information Protocol, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Relay, law, 0202 electrical engineering, electronic engineering, information engineering, Wireless, Destination-Sequenced Distance Vector routing, Zone Routing Protocol, Vehicular ad hoc network, Adaptive quality of service multi-hop routing, business.industry, Network packet, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Path vector protocol, 020206 networking & telecommunications, Ad hoc wireless distribution service, Distance-vector routing protocol, Optimized Link State Routing Protocol, Link-state routing protocol, Interior gateway protocol, 020201 artificial intelligence & image processing, Hazy Sighted Link State Routing Protocol, business, Computer network
Abstract: International audience; Vehicular Ad-Hoc Networks (VANETs) have become an emerging technology due to the variety of their applicationsin Intelligent Transportation Systems (ITS). By creating a vehicular network, each vehicle can exchange information toinform drivers in other vehicles about the current status of the traffic flow or a dangerous situation. Multi-hop communicationsis an effective method that can be used for information exchange over distances greater than the transmission range of thetransmitting vehicle. However, it is a great challenge to ensure a stable multi-hop communication link with a low delivery delaydue to the high mobility of the vehicles involved. The goal of this paper is to design a TDMA aware Routing Protocolfor Multi-hop wireless vehicular ad hoc networks (TRPM) in order to provide the ability to transmit/receive packets over longdistances. The proposed routing scheme is based on a medium access control protocol, in which the intermediate vehicles areselected based on the TDMA scheduling. The simulation results reveal that our routing protocol significantly outperforms otherprotocols in terms of average end-to-end delay, average number of relay vehicles and the average delivery ratio.
Published: 2017

26. A Centralized TDMA based Scheduling Algorithm for Real-Time Communications in Vehicular Ad Hoc Networks

Author: Paul Muhlethaler, Leila Azouz Saidane, Mohamed Hadded, Anis Laouiti, Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Wireless Networking for Evolving & Adaptive Applications (EVA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Réseau, Application, Mtrologie, système, Intelligence, Scurit [Manouba] (RAMSIS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), and Centre National de la Recherche Scientifique (CNRS)
Subjects: VANET, Vehicular ad hoc network, Computer science, business.industry, Wireless ad hoc network, Quality of service, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Time division multiple access, 020206 networking & telecommunications, Road Side Unit, 02 engineering and technology, Ad hoc Network, Ad hoc wireless distribution service, Network topology, Real-Time, MAC Protocol, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Optimized Link State Routing Protocol, TDMA, Safety applications, 0202 electrical engineering, electronic engineering, information engineering, Overhead (computing), 020201 artificial intelligence & image processing, business, Computer network
Abstract: International audience; —As wireless technologies inside smart cars are increasing , Vehicular Ad hoc NETworks (VANETs) are becoming a promising way to enhance driver and passenger safety by enabling each vehicle to provide a warning in real time when a critical event is predicted. These applications require reliable broadcast schemes with minimum access delay and transmission collisions, which thus increase the need for an efficient Medium Access Control (MAC) protocol. However, the design of an efficient MAC protocol in VANET networks is a challenging task due to the high speed of the nodes, the frequent changes in network topology and various QoS requirements. Motivated by this observation, in this paper we present a Centralized TDMA based MAC protocol named CTMAC for real-time communications in VANETs. In our solution, Road Side Units (RSUs) are used as central coordinators to schedule and maintain time slot assignment for the vehicles in their coverage areas. In this work, we will show how interference between vehicles in the overlapping regions can be avoided without using any complex spectrum mechanisms such as CDMA or OFDMA. The simulation results reveal that CTMAC significantly outperforms the VeMAC and ADHOC MAC protocols. in terms of transmission collisions and the overhead required to create and maintain the TDMA schedules.
Published: 2016

27. An Infrastructure-Free Slot Assignment Algorithm for Reliable Broadcast of Periodic Messages in Vehicular Ad hoc Networks

Author: Anis Laouiti, Mohamed Hadded, Leila Azouz Saidane, Paul Muhlethaler, Wireless Networking for Evolving & Adaptive Applications (EVA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Réseau, Application, Mtrologie, système, Intelligence, Scurit [Manouba] (RAMSIS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), and Centre National de la Recherche Scientifique (CNRS)
Subjects: VANET, Wireless ad hoc network, Computer science, Time division multiple access, 050801 communication & media studies, Access control, 02 engineering and technology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, Collision-free, 0202 electrical engineering, electronic engineering, information engineering, Wireless, Scheduling Scheme, Fully Distributed, Vehicular ad hoc network, Hidden node problem, Code division multiple access, business.industry, Quality of service, 05 social sciences, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020206 networking & telecommunications, MAC Protocol, TDMA, business, Computer network
Abstract: International audience; A Vehicular Ad-Hoc NETwork (VANET) consists of a set of vehicles moving along roads, which can communicate with each other through ad hoc wireless devices. VANETs have attracted a great deal of attention in the research community in recent years, with the main focus being on their safety applications. One of the major challenges of vehicular networks is designing an efficient Medium Access Control (MAC) protocol which can cope with the hidden node problem, the high speed of the nodes, the frequent changes in topology, the lack of an infrastructure, and various QoS requirements. Motivated by this observation, we present a fully distributed and location-based TDMA scheduling scheme for VANETs, named DTMAC. The main goal of this work is to propose a MAC protocol that can provide a reliable broadcast service with bounded access delay, while reducing access collisions and merging collisions with various vehicle densities without having to use expensive and complex spectrum mechanisms such as CDMA or OFDMA. An analytical model of the average access collision probability has been derived, which can be used to evaluate the performance of DTMAC and validate the simulation results under different traffic conditions. The simulation results reveal that DTMAC significantly outperforms VeMAC in terms of transmission collisions and broadcast coverage.
Published: 2016

28. Employing Grey Model forecasting GM(1,1) to historical medical sensor data towards system preventive in smart home e-health for elderly person

Author: Tayeb Lemlouma, Leila Azzouz Saidane, Rim Jouini, Karima Maalaoui, Réseau, Application, Mtrologie, système, Intelligence, Scurit [Manouba] (RAMSIS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Lemlouma, Tayeb, CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), and Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)
Subjects: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Computer science, forecasting Grey Model GM(1, Box-Jenkins ARIMA model, forecasting, 02 engineering and technology, Machine learning, computer.software_genre, Data modeling, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Health services, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.EIAH] Computer Science [cs]/Technology for Human Learning, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Home automation, [INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET], 0202 electrical engineering, electronic engineering, information engineering, Autoregressive integrated moving average, Hidden Markov model, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], business.industry, 1), 020207 software engineering, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], e-Health, 020201 artificial intelligence & image processing, Smart-Home, [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET], [INFO.EIAH]Computer Science [cs]/Technology for Human Learning, Artificial intelligence, business, computer
Abstract: International audience; Introducing new methods to enhance health services for elderly persons has become the main objective of Smart Home researchers. One of the most important issues that they have dealt with is the application of forecasting models used to predict states of elderly persons. In fact, our approach focuses on some critical health parameters (blood pressure, pulse, etc ) over 40 days. In this paper, we have applied the forecasting Grey Model GM(1,1) on data collected in the smart home MavHome Project. We have also compared the system performances obtained to predict sensor datawhile using the Grey model with those provided while applying the Box-Jenkins ARIMA as a conventional forecasting model. The simulation results show that the Grey Model is more efficient than the Box-Jenkins ARIMA as it has resulted in more accurate forecasting values.
Published: 2016

29. OHMP-CAC: Optimized Handoff scheme based on Mobility Prediction and QoS Constraints for Femtocell Networks

Author: Ahlam Ben Cheikh, Rami Langar, Leila Azouz Saidane, Mouna Ayari, Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Phare, Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), and Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)
Subjects: Scheme (programming language), Computer science, Call Admission Control, 050801 communication & media studies, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, 0502 economics and business, Quality of signal, Femtocell, CAC, [INFO]Computer Science [cs], HMM, ComputingMilieux_MISCELLANEOUS, computer.programming_language, business.industry, Quality of service, 05 social sciences, SIGNAL (programming language), ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Femtocell networks, Handoff decision, QoS constraints, Dwell time, Handover, 050211 marketing, business, Mobility prediction, computer, Computer network
Abstract: International audience; In this paper, we investigate intelligent handoff decisions in femtocell networks, with the goal of achieving a seamless femtocell-to-femtocell handoff procedure that minimizes unnecessary handoffs and provides a good quality of connection to mobile users. To this aim, we propose a promising handoff scheme called Optimized Handoff based on Mobility Prediction and Call Admission Control (OHMP-CAC). Our proposal is based on a next cell prediction module using an efficient Hidden Markov Model (HMM) predictor on one hand, and a Call Admission Control (CAC) algorithm with service differentiation for applications with and without QoS constraints, on the other hand. To gauge the effectiveness of our proposal, we conducted extensive simulations based on real human mobility traces. Results show that OHMP-CAC outperforms existing approaches in terms of the number of handoffs, the dwell time, and the handoff decision time, while providing a connection with excellent quality of signal to femtocell user equipments (UE).
Published: 2016

30. A Novel Angle-based Clustering Algorithm for Vehicular Ad Hoc Networks

Author: Paul Muhlethaler, Mohamed Hadded, Leila Azzouz Saidane, Anis Laouiti, Réseau, Application, Mtrologie, système, Intelligence, Scurit [Manouba] (RAMSIS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Wireless Networking for Evolving & Adaptive Applications (EVA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and Centre National de la Recherche Scientifique (CNRS)
Subjects: VANET, Vehicular ad hoc network, business.industry, Wireless ad hoc network, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020302 automobile design & engineering, 020206 networking & telecommunications, 02 engineering and technology, Mobile ad hoc network, Cluster Protocol, Ad hoc Networks, Ad hoc wireless distribution service, Network topology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Geography, 0203 mechanical engineering, Optimized Link State Routing Protocol, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Mobil- ity Direction, business, Cluster analysis, Intelligent transportation system, Computer network, Angle
Abstract: International audience; A vehicular ad hoc network (VANET) is a mobile network in which vehicles acting as moving nodes communicate with each other through an ad hoc wireless network. VANETs have become the core component of Intelligent Transportation Systems (ITS) which aim to improve the road safety and efficiency. Only if the communication scheme used in a VANET is stable can these aims be achieved. Frequent changes in network topology and breaks in communication raise challenging issues in the design of communication protocols for such networks. Currently, clustering algorithms are being used as the control schemes to reduce changes in VANET topologies. However, the design of a clustering algorithm becomes a difficult task in VANETs when there are many road segments and intersections. In this work, we propose an Angle based Clustering Algorithm (ACA), which exploits the angular position and the direction of the vehicles to select the most stable vehicles that can act as cluster heads for a long period of time. The simulation results reveal that ACA significantly outperforms other clustering protocols in terms of cluster stability.
Published: 2016

31. Localized Scheduling for End-to-End Delay Constrained Low Power Lossy Networks with 6TiSCH

Author: Ines Hosni, Noureddine Hamdi, Fabrice Theoleyre, Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Theoleyre, Fabrice
Subjects: Routing protocol, Rate-monotonic scheduling, Schedule, Computer science, Distributed computing, end-to-end delay, End-to-end delay, 02 engineering and technology, Dynamic priority scheduling, distributed scheduling, 01 natural sciences, Fair-share scheduling, Scheduling (computing), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], IEEE 802154e-TSCH, 0202 electrical engineering, electronic engineering, information engineering, Wireless, 6TiSCH, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], business.industry, Network packet, 010401 analytical chemistry, Testbed, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020206 networking & telecommunications, Round-robin scheduling, 0104 chemical sciences, Distributed algorithm, Two-level scheduling, business, Wireless sensor network, Communication channel, Computer network
Abstract: International audience; The IoT expects to exploit IEEE802.15.4e-TSCH, designed for wireless industrial sensor networks. This standard relies on techniques such as channel hopping and bandwidth reservation to ensure both energy savings and reliable transmissions. The 6TiSCH working group currently proposes to exploit the RPL routing protocol on top of the IEEE802.15.4-2012-TSCH layer. Since many applications may require low end-to-end delay (e.g. alarms), we propose here a distributed algorithm to schedule the transmissions while upper bounding the end-to-end delay. Our strategy is based on stratums to reserve time-bands for each depth in the routing structure constructed by RPL. By allocating a sufficient number of timeslots for the possible retransmissions, we guarantee that any packet is delivered during one single slotframe, wherever the source is located. Experiments on a large scale testbed prove the relevance of this approach to reduce the end-to-end delay while minimizing the number of collisions, prejudicial to the reliability in multihop networks.
Published: 2016

32. Flexible Call Admission Control with Preemption in LTE Networks

Author: Nesrine Turki, Bernard Cousin, Aymen Belghith, Mohammad S. Obaidat, Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Advanced technologies for operated networks (ADOPNET), Université de Rennes (UR)-Télécom Bretagne-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR), Fordham University [New York], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Télécom Bretagne-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), and Université de Rennes (UNIV-RENNES)
Subjects: Long Term Evolution (LTE) network, Computer science, Channel state, Call Admission Control, Preemption, classes of traffic, Throughput, 02 engineering and technology, Quality of Service (QoS), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0202 electrical engineering, electronic engineering, information engineering, Handoff call, Call management, Call Admission Control (CAC), New call, business.industry, 05 social sciences, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 050301 education, 020206 networking & telecommunications, Admission control, Handover, business, 0503 education, Computer network, Communication channel
Abstract: International audience; This paper introduces a new call admission control (CAC) mechanism for Long Term Evolution (LTE) networks supporting multimedia services with different classes of traffic. Our CAC mechanism classifies calls into real time and non-real time users, then estimates the channel quality based upon the received signal strength (RSS) value, and finally identifies the call as either new call (NC) or handoff call (HC) request before performing admission control decision. We also use a simple preemption technique in order to allocate the resources to high priority bearer requests. We show through extensive simulation analysis that our CAC mechanism provides high number of accepted users with higher priorities while providing high system throughput.
Published: 2016

33. Allocation non égoïste des canaux dans les réseaux à radio cognitive pour les smart grids

Author: Aroua, Sabrine, El-Korbi, Inès, Ghamri-Doudane, Yacine, Azouz-Saidane, Leila, Laboratoire Informatique, Image et Interaction - EA 2118 (L3I), Université de La Rochelle (ULR), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Ghamri Doudane, Yacine, and Aroua, Sabrine
Subjects: [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO]Computer Science [cs], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [INFO] Computer Science [cs], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ComputingMilieux_MISCELLANEOUS
Abstract: International audience; Dans cet article nous proposons une nouvelle méthode d'allocation distribuée des canaux pour le réseau de capteurs a radio cognitive déployé pour les réseaux électriques de distribution dits smart grids (SG). La solution permet d'éviter l'accès égoïste des capteurs pour la transmission des données tout en respectant l'hétérogénéité du trafic généré et sans l'utilisation d'un canal de contrôle en commun (CCC). La solution proposée est évaluée par l'outil de la simulation qui montre sa capacité a réaliser une allocation équitable des ressources spectrales sans l'utilisation d'un élément central.
Published: 2016

34. Memory management optimization for content routers in DONA

Author: Farouk Kamoun, Walid Dabbous, Thierry Turletti, Soniamettali Gammar, Amine Abidi, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and Turletti, Thierry
Subjects: Routing protocol, Static routing, Interconnection, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], business.industry, Computer science, Distributed computing, Policy-based routing, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Memory management, Routing domain, Information-centric networking, The Internet, business, Computer network
Abstract: Nowadays, content retrieval is marking the Internet usage. User communications are no longer tied up to host interconnection. Information Centric Networking (ICN) models are proposed to cope with these changes. The new paradigm redesigns the Internet architecture to bring out content to the first level. Over the last decade, many key projects have proposed a large solution spectrum to rebuilt networking primitives focused on the content. One important and direct challenge of this shift is the large amount of routing states due to identifying contents rather than hosts. In this paper, we focus especially on DONA, one of the first ICN architecture, and analyse the required memory space to store routing states. Our study shows that today's technologies are not able to satisfy the content routing needs. Thus, we propose an enhancement of DONA called BADONA to deal with this problem. It uses the Bloom filter to drastically reduce the usage of the memory space. Finally, we evaluate our proposal performances to underscore its contribution.
Published: 2015

35. Intra-Cluster Multichannel Scheduling Algorithm for Cognitive Radio Sensor Networks

Author: Ons Mabrouk, Hanen Idoudi, Leila Azouz Saidane, Pascale Minet, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Université de la Manouba [Tunisie] (UMA), Wireless Networking for Evolving & Adaptive Applications (EVA), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and IEEE
Subjects: Network packet, business.industry, Computer science, Energy consumption, conflicting nodes, Collision, Fair-share scheduling, Scheduling (computing), Transmission Time Interval, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], ComputingMethodologies_PATTERNRECOGNITION, channel assignment, Cluster (physics), scheduling, cognitive radio sensor networks, business, Computer network, Communication channel, collision
Abstract: International audience; In this paper we propose a cluster-based multichannelscheduling algorithm for intra-cluster communicationsin Cognitive Radio Sensor Networks (CRSNs) to avoid collisionsbetween neighbor clusters. Since nodes having neighbor nodesout of their clusters may cause collisions between neighborclusters, when transmitting in the same time slot on the samechannel, the scheduling of each cluster cannot be establishedindependently. We propose to fix in each cluster the channelsused by nodes having conflicting nodes out of their clusters.This channel assignment is done by the cluster heads in adistributed way but according to the decreasing priority orderof the clusters. Then, each cluster head executes the schedulingalgorithm independently. We evaluate the performance of thisalgorithm in terms of total number of time slots needed byall the nodes to transmit all their packets to the sink, energyconsumption and transmission time interval.
Published: 2015

36. CHRA: a coloring based hierarchical routing algorithm

Author: Hassan Mathkour, Bilel Derbel, Ahmad S. Al-Mogren, Dhouha Ghrab, Imen Jemili, Abdelfettah Belghith, Amine Dhraief, Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), College of Computer and Information Sciences [Riyadh], King Saud University [Riyadh] (KSU), Parallel Cooperative Multi-criteria Optimization (DOLPHIN), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Subjects: Optimization problem, General Computer Science, business.industry, Computer science, Distributed computing, 020208 electrical & electronic engineering, 020206 networking & telecommunications, Computational intelligence, 02 engineering and technology, Energy consumption, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0202 electrical engineering, electronic engineering, information engineering, Graph coloring, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Heuristics, business, Wireless sensor network, Hierarchical routing, Computer network
Abstract: International audience; Graph coloring was exploited in wireless sensor networks to solve many optimization problems, mainly related to channel assignment. In this paper, we propose to use coloring to jointly manage channel access and routing to the sink. We introduce CHRA, a coloring based hierarchical routing approach. Coloring is exploited to avoid interferences and also to schedule nodes transmissions to the sink. We provide an analytical study assessing the performance of CHRA and present an investigation of various coloring heuristics to study their impact on CHRA performances on maintaining the network connectivity and coverage, while reducing the energy consumption.
Published: 2015

37. LEATCH: Low Energy Adaptive Tier Clustering Hierarchy

Author: Abdelfettah Belghith, Badia Bouhdid, Wafa Akkari, École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), and Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI)
Subjects: Routing protocol, Computer science, business.industry, coverage, Energy consumption, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], routing, Scalability, Cluster (physics), General Earth and Planetary Sciences, LEACH, wireless sensor networks, Cluster analysis, business, Wireless sensor network, latency, energy efficiency, scalability, Hierarchical routing, ComputingMilieux_MISCELLANEOUS, clustering, General Environmental Science, Efficient energy use, Computer network
Abstract: In Wireless Sensor Networks, low latency, energy efficiency, and coverage problems are considered as three key issues in designing routing protocols. In this paper we present a new protocol called Low Energy Adaptive Tier Clustering Hierarchy (LEATCH), which offers a good compromise between delay and energy consumption and resolves some coverage problems. For our purpose, a two level hierarchical approach has been proposed to organize a sensor network into a set of clusters, every cluster divided into small clusters that are called Mini Clusters. As the way the clusters are organized, for each mini cluster we define a Mini Cluster- Head (MCH). Every MCH communicates with the cluster-head directly, it aggregates its mini-cluster information. In addition, we have made some changes in the procedure of cluster head and mini cluster head election. LEATCH promises better performances than the conventional LEACH protocol which is one of the most known hierarchical routing protocols using the probabilistic model to manage the energy consumption in WSNs. Simulation results show that LEATCH performs better than LEACH in term of energy, delay, coverage and scalability.
Published: 2015

38. Interference-aware Game-based Channel Assignment algorithm for MR-MC WMNs

Author: Leila Azouz Saidane, Guy Pujolle, Mouna Ayari, Amira Bezzina, Rami Langar, Phare, Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), and Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)
Subjects: Wireless mesh network, [INFO.INFO-GT]Computer Science [cs]/Computer Science and Game Theory [cs.GT], Computer science, business.industry, Distributed computing, Node (networking), ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020206 networking & telecommunications, Order One Network Protocol, 02 engineering and technology, Shared mesh, Interference (wave propagation), [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Switched mesh, business, Potential game, Algorithm, Communication channel, Computer network, Computer Science::Information Theory
Abstract: International audience; One of the main challenges of multi-radio multi-channel wireless mesh networks (MR-MC WMNs) is how to efficiently avail from the radio resources available in the network. The level of interference experienced by the mesh nodes rises when the network becomes more connected and the number of radios per node increases. To mitigate interference experienced by the wireless mesh nodes while taking advantage from the multi-channel network aspect, we propose a novel Interference-aware Game based Channel Assignment algorithm, named IGCA. We prove through simulations that our proposed algorithm contributes in alleviating the node interference degree, fairly allocates interfaces to network non-overlapping channels and increases simultaneous transmissions in the network. An improvement up to 50% of both interference degree and simultaneous connections is particularly observed in comparison with a prominent existing approach - the Near-optimal Partially Overlapping Channel Assignment algorithm.
Published: 2014

39. Conflict-free Opportunistic Centralized Time Slot Assignment in Cognitive Radio Sensor Networks

Author: Leila Azouz Saidane, Ons Mabrouk, Pascale Minet, Hanen Idoudi, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), High PERformance COMmunications (HIPERCOM2), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and IEEE
Subjects: secondary users, data gathering, Computer science, primary users, Throughput, white space database, 02 engineering and technology, Spectrum management, Scheduling (computing), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0203 mechanical engineering, White spaces, Cognitive radio sensor networks, 0202 electrical engineering, electronic engineering, information engineering, conflict-free schedule, Wireless, Conflict free, throughput, business.industry, spectrum sensing, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020302 automobile design & engineering, 020206 networking & telecommunications, cognitive radio sensor networks, Networks, business, Computer network, Communication channel
Abstract: International audience; The unlicensed spectrum bands becomeovercrowded causing an increased level of interference forcurrent wireless sensor nodes. Cognitive Radio Sensor Networks(CRSNs) overcome this problem by allowing sensor nodes toaccess opportunistically the underutilized licensed spectrumbands. The sink assigns the spectrum holes to the secondaryusers (SUs). Therefore, it must rely on reliable information aboutthe spectrum holes to protect the primary users (PUs). In thispaper the sink uses two ways to determine the available channelsand alerts the SUs if an unexpected activity of PU occurs. Ourobjective is to design an algorithm able to detect the unexpectedpresence of PUs in the multi-hop network while maximizingthe throughput. To achieve our goal, we propose an optimizedversion of our previous scheduling algorithm Opportunisticcentralized TIme slot assignment in COgnitive Radio sensornetworks (OTICOR). We then evaluate its performance in termsof number of slots and throughput.
Published: 2014

40. An optimal strategy for collision-free slots allocations in Vehicular Ad-hoc NETworks

Author: Leila Azzouz Saidane, Rachid Zagrouba, Paul Muhlethaler, Mohamed Hadded, Anis Laouiti, Département Logiciels et Réseaux (LOR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Centre National de la Recherche Scientifique (CNRS), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Wireless Networking for Evolving & Adaptive Applications (EVA), Inria Paris-Rocquencourt, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Subjects: Engineering, VANET, Vehicular ad hoc network, business.industry, Wireless network, Wireless ad hoc network, Quality of service, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Time division multiple access, 020206 networking & telecommunications, 020302 automobile design & engineering, Access control, FDMA, 02 engineering and technology, CDMA, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0203 mechanical engineering, MAC protocols, TDMA, 0202 electrical engineering, electronic engineering, information engineering, Bandwidth (computing), Wireless, business, Computer network
Abstract: International audience; Research in vehicular ad-hoc networks (VANETs) have attracted a lot of attention in the recent years as emerging wireless technologies have opened up the way to many new exciting applications. VANETs are highly dynamic wireless networks that are designed to support vehicular safety, traffic management, and user-oriented applications. Each vehicle can exchange information to inform other vehicles about the current status or a dangerous situation such as an accident. Detecting and sending information about such situations requires a reliable broadcast service between vehicles, thus increasing the need for an efficient medium access control (MAC) protocol. In this paper, we propose ASAS, an Adaptive Slot Assignment Strategy, which takes advantage of bandwidth spatial reuse and reduces intra-cluster and inter-cluster message collisions without having to use an expensive spectrum and complex mechanisms such as CDMA or FDMA. Cluster heads (CHs) which are elected among the vehicles are then responsible for assigning time slots to the other vehicles in their clusters. The evaluation results show the interest of ASAS in terms of slot reuse and collision rates in different speed conditions
Published: 2014

41. OTICOR: Opportunistic Time Slot Assignment in Cognitive Radio Sensor Networks

Author: Hanen Idoudi, Pascale Minet, Ons Mabrouk, Ridha Soua, Leila Azouz Saidane, Ichrak Amdouni, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), High PERformance COMmunications (HIPERCOM2), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and IEEE
Subjects: Computer science, Real-time computing, time slots, Throughput, 02 engineering and technology, opportunistic scheduling, Radio spectrum, Scheduling (computing), [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0203 mechanical engineering, multichannel, 0202 electrical engineering, electronic engineering, information engineering, Mobile wireless sensor network, throughput, business.industry, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020302 automobile design & engineering, 020206 networking & telecommunications, Key distribution in wireless sensor networks, Cognitive radio, Sensor node, Channel (broadcasting), Networks, business, Cognitive radio sensor network, Wireless sensor network, Computer network, Communication channel
Abstract: International audience; Current Wireless Sensor Networks (WSNs) are deployed over unlicensed frequency bands that face an increased level of interference from various wireless systems. Cognitive Radio Sensor Networks (CRSNs) overcome this problem by allowing sensor nodes to access new spectrum bands to minimize interferences.In this paper, we focus on the MultiChannel Time Slot Assignment problem (MC-TSA) in CRSNs. Each sensor node is assigned the number of time slots it needs to transfer its own data as well as the data received from its children in the rooting tree rooted at the sink without interfering with other secondary users. Besides, sensor nodes cannot transmit on a channel occupied by a primary user. Our objective is to increase the network throughput offered to sensor nodes. We start by formulating the MC-TSA problem as an Integer Linear Program where the goal is to minimize the number of slots in the schedule.We then propose an Opportunistic centralized TIme slot assignment in COgnitive Radio sensor networks (OTICOR). We evaluate its performance in terms of number of slots and throughput.
Published: 2014

42. An adaptive TDMA slot assignment strategy for Vehicular Ad hoc Networks

Author: Leila Azouz Saidane, Paul Muhlethaler, Rachid Zagrouba, Anis Laouiti, Mohamed Hadded, Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Institut Supérieur d'Informatique Ariana, Tunis, Département Logiciels et Réseaux (LOR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), High PERformance COMmunications (HIPERCOM2), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and Université de la Manouba [Tunisie] (UMA)
Subjects: VANET, Computer science, Wireless ad hoc network, Time division multiple access, QoS, 02 engineering and technology, CDMA, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0203 mechanical engineering, MAC protocols, Packet loss, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Latency (engineering), Vehicular ad hoc network, Hidden node problem, Network packet, business.industry, Quality of service, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020302 automobile design & engineering, 020206 networking & telecommunications, FDMA, TDMA, business, Telecommunications, Computer network
Abstract: International audience; Improving road safety is among the main objectives of Vehicular Ad-hoc NETworks (VANETs) design. This objective would be achieved essentially by the use of efficient safety applications which should be able to wirelessly broadcast warning messages between neighbouring vehicles in order to inform drivers about a dangerous situation in a timely manner. To insure their efficiency, safety applications require reliable periodic data dissemination with low latency. Medium Access Control (MAC) protocols play a primary role to provide efficient delivery and avoid as much as possible data packet loss. In fact, in distributed MAC approaches, packet loss is a consequence of collisions resulted from well known situations of the exposed and hidden node situations. This paper introduces an Adaptive TDMA Slot Assignment Strategy (ASAS) for VANET based on clustering of vehicles. The main aim of this work is to provide a MAC layer protocol that can reduce inter-cluster interference under different traffic loading conditions without having to use expensive spectrum and complex mechanisms such as CDMA or OFDMA. An analysis and simulation results are presented to evaluate the performance of ASAS. Moreover, we compare its performance with two TDMA MAC protocols DMMAC and VeMAC
Published: 2014

43. Towards a New Internetworking Architecture: A New Deployment Approach for Information Centric Networks

Author: Walid Dabbous, Farouk Kamoun, Thierry Turletti, Sonia Mettali Gammar, Amine Abidi, Laboratoire d'Electronique et Microélectronique, Faculté des Sciences de Monastir (FSM), Université de Monastir - University of Monastir (UM)-Université de Monastir - University of Monastir (UM), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Subjects: Future Internet, Computer science, business.industry, Distributed computing, Bloom filter, Information Centric, Space (commercial competition), Bloom Filter, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Order (exchange), Software deployment, Networking architecture, The Internet, [INFO]Computer Science [cs], Architecture, business, Internetworking
Abstract: International audience; New research efforts are trying to evolve the current Inter-net. With satisfying communication hardware, the intent is to switch to data oriented networks. In this new vision, data will be the heart of the architecture and protocols have to be changed to dial with this concept. Promising ideas are proposed up in order to develop clean slate design solutions. However, these propositions encounter many deployment problems. In this paper, we propose new approach based on Bloom Filter to cope with storage space problem in data oriented architecture DONA.
Published: 2014

44. UAV Search Path Planning For Livestock Monitoring

Author: Benalaya, Najoua, Adjih, Cedric, Laouiti, Anis, Amdouni, Ichrak, Saidane, Leila, Institut Polytechnique de Paris (IP Paris), Département Réseaux et Services Multimédia Mobiles (TSP - RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria), and This research was conducted under the project PHC-Utique 21G1116 funded by the partnership Hubert Curien 'Utique' of the French Ministry of Europe and Foreign Affairs and the Tunisian Ministry of Higher Education and Scientific Research.
Subjects: [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Search Path Planning, UAV, Precision Agriculture Livestock Management UAV Search Path Planning Mixed-Integer Linear programming, Livestock Management, Precision Agriculture, [INFO]Computer Science [cs], Mixed-Integer Linear programming
Abstract: International audience; Unmanned Aerial Vehicles (UAVs) are being extensively deployed in numerous Livestock Management applications such as cattle disease diagnosis, counting and behavioral monitoring from videos and images captured by drones.The paper focuses on one increasingly important family of applications, UAV-assisted cattle monitoring applications where the objective is to remotely acquire some health state information from IoT nodes attached to the herding cattle. Such livestock data acquisition applications have many challenges. One of these challenges, which is the focus of this paper, is the problem that the target cattle position may not be known precisely, and might be defined with a large area. To address this issue, we design a formulation of this UAV-cattle search path problem as a mathematical optimization problem and show how it can be derived from other well-known formulation and related literature. A Mixed-Integer linear Programming (MILP) formulation is introduced to minimize the expected search time while covering all the search area to efficiently locate the animal. This formulation exploits a cattle position probability distribution map. The results show that the suggested approach yields excellent results using the existing MILP solvers.
Published: 2022

45. A Survey on the opportunities of blockchain and UAVs in agriculture

Author: Khouloud Hwerbi, Najoua Benalaya, Ichrak Amdouni, Anis Laouiti, Cedric Adjih, Leila Saidane, École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Institut Polytechnique de Paris (IP Paris), Département Réseaux et Services Multimédia Mobiles (TSP - RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), inTeRnet BEyond the usual (TRiBE ), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and This research was conducted under the project PHC-Utique 21G1116 funded by the partnership Hubert Curien 'Utique' of the French Ministry of Europe and Foreign Affairs and the Tunisian Ministry of Higher Education and Scientific Research.
Subjects: IoT, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Blockchain, UAV, Agriculture, survey
Abstract: International audience; Unmanned Aerial Vehicles (UAVs) and blockchain Technologies are relevant systems that have a significant performance in numerous sectors. In particular, applying these emerging technologies will affect positively the agricultural ecosystem. In this paper, we investigate the opportunities offered by UAVs and blockchain (BC) in the agricultural sector. We review recent research efforts in the subject with a synthesis illustrated by a classification table. Finally, open challenges and future directions for IoT-based agriculture applications are discussed.
Published: 2022

46. Optimized handover algorithm for two-tier macro-femto cellular LTE networks

Author: Guy Pujolle, Rami Langar, Leila Azouz Saidane, Mouna Ayari, Ahlam Ben Cheikh, Phare, Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), and Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA)
Subjects: Computer science, business.industry, Femto, Call Admission Control, 05 social sciences, Real-time computing, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 050801 communication & media studies, 020206 networking & telecommunications, Soft handover, 02 engineering and technology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, Handover, 0202 electrical engineering, electronic engineering, information engineering, Femtocell, Macrocell, Radio resource management, business, Mobility management, Computer network
Abstract: International audience; In the last few years, femtocells have gained a great deal of interest as an emerging wireless and mobile access technology to improve indoor coverage and network capacity. In such an environment, mobility management is one of the major concerns that may limit the wide deployment and adoption of such networks. In this paper, we investigate the handover procedure for the two-tier macro/femto LTE networks. An optimized handover algorithm with an efficient call admission control has been proposed and described. Our proposed scheme is mainly designed to reduce the number of unnecessary handovers and to maintain the communication quality during the handover. The choice of the femtocell target takes into account the direction of the mobile user, its velocity and the quality of the signal. Performance evaluation results show that our algorithm minimizes both the number of hand-in and the handover drop rate. Besides, the signal quality in terms of SINR after the hand-in is maintained higher than a fixed threshold, which maximizes the sojourn time of the mobile user within the selected femtocell.
Published: 2013

47. Coloring based Hierarchical Routing Approach

Author: Imen Jemili, Dhouha Ghrab, Bilel Derbel, El-Ghazali Talbi, Abdelfettah Belghith, Amine Dhraief, Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), Parallel Cooperative Multi-criteria Optimization (DOLPHIN), Laboratoire d'Informatique Fondamentale de Lille (LIFL), Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria), and Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)
Subjects: Dynamic Source Routing, Optimization problem, Computer science, Distributed computing, Wireless Routing Protocol, 02 engineering and technology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0202 electrical engineering, electronic engineering, information engineering, Computer Science::Networking and Internet Architecture, Graph coloring, Hierarchical routing, General Environmental Science, Static routing, business.industry, 020208 electrical & electronic engineering, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020206 networking & telecommunications, Energy consumption, routing, Graph Coloring, TDMA scheduling, General Earth and Planetary Sciences, business, optimization, Wireless sensor network, Wireless Sensor Network, Computer network
Abstract: International audience; Graph coloring was exploited in wireless sensor networks to solve many optimization problems. These problems are related in general to channel assignment. In this paper, we propose to jointly use coloring for routing purposes. We introduce CHRA a coloring based hierarchical routing approach. Coloring is exploited to avoid interferences and also to schedule nodes transmissions to sink. We provide an analytical and experimental study assessing the performance of CHRA in terms of end-to-end delay and energy consumption. In particular, we find that CHRA performs better than LEACH, a well established hierarchical routing protocol.
Published: 2013

48. A distributed advanced analytical trust model for VANETs

Author: Abdelfettah Belghith, Tahani Gazdar, Abderrezak Rachedi, Abderrahim Benslimane, Institut des Maladies Emergentes et des Thérapies Innovantes (IMETI), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, PASNET, Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI-Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA), and IEEE
Subjects: Flexibility (engineering), Distributed Trust Model, Markov chain, business.industry, Computer science, Wireless ad hoc network, Distributed computing, Stability (learning theory), Trust metric, 020206 networking & telecommunications, Context (language use), 02 engineering and technology, Interval (mathematics), IEEE, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, VANETs, business, Computer network
Abstract: International audience; In this paper we propose a trust model based on a Markov chain in order to formalize the trust metric variation and its stability in the context of Vehicular Ad hoc Networks (VANETs). The proposed model takes into account not only the dynamic trust metric variation according to the vehicles behaviors, but also the constraints related to the monitoring process. In our model each vehicle can act as monitor and update the trust metric of its neighbors according to their behavior in the network. In addition, our model can be customized through different parameters like the trust interval and the number of transitions needed to reach the highest trust level. This flexibility enables to adapt the model according to the application context. The performance evaluation of the proposed model is presented with different parameters and two types of disruptive vehicles are taken into account: malicious and selfish. The obtained results show the resistance, the robustness and the incentive of the proposed model against the fluctuations of the vehicles behaviors.
Published: 2012

49. A trust-based architecture for managing certificates in vehicular ad hoc networks

Author: Abderrahim Benslimane, Tahani Gazdar, Abdelfettah Belghith, Abderrezak Rachedi, Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, PASNET, Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI-Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Heterogeneous Advanced Networking and Applications [Manouba] (HANAlab), Université de la Manouba [Tunisie] (UMA)-École Nationale des Sciences de l'Informatique [Manouba] (ENSI), and Université de la Manouba [Tunisie] (UMA)
Subjects: VANET, Vehicular ad hoc network, Wireless ad hoc network, Computer science, business.industry, Trust metric, 020206 networking & telecommunications, Public key infrastructure, 02 engineering and technology, Computer security, computer.software_genre, Public-key cryptography, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Certificate authority, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computational trust, Trust Model, business, computer, Computer network
Abstract: In this paper, we propose a secure and distributed public key infrastructure for vehicular ad hoc networks VANETs based on an hybrid trust model which is used to determine the trust metric (T m ) of vehicles. The trust model consists on a monitoring system processing on two aspects: the cooperation of vehicles and the legitimacy of the broadcasted data. We propose a fuzzy-based solution in order to decide about the honesty of vehicles. Then, the vehicles which are trusted (T m = 1) and have at least one trusted neighbor can be candidate to serve as certification authorities CAs in their clusters. In order to increase the stability of our distributed architecture, the candidate CA which has the lowest relative mobility will be elected as certification authority CA. We conducted a set of simulations in which we evaluate the efficiency and the stability of the clustering algorithm as a function of the speed, the average number of vehicles on the platoon and the percentage of confident vehicles.
Published: 2012

50. Hybrid Approach for Experimental Networking Research

Author: Farouk Kamoun, Amine Abidi, Arnaud Legout, Thierry Turletti, Sonia Mettali Gammar, Walid Dabbous, Laboratoire d'Electronique et Microélectronique, Faculté des Sciences de Monastir (FSM), Université de Monastir - University of Monastir (UM)-Université de Monastir - University of Monastir (UM), Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Subjects: Grid network, Computer science, Distributed computing, 020206 networking & telecommunications, 02 engineering and technology, Grid, Hybrid approach, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Real-time simulation, Mapping algorithm, 0202 electrical engineering, electronic engineering, information engineering, Code (cryptography), [INFO]Computer Science [cs], Communications protocol, Protocol (object-oriented programming)
Abstract: International audience; Simulation is often used for the evaluation of new network protocols and architectures. In order to perform more realistic simulations , modern simulators such as ns-3 integrate more detailed models and even support direct execution of real protocol code. However, such complex models require more computational and memory requirements. In this paper, we study the feasibility of a hybrid approach based on distributing a complex simulation scenario on several nodes in a grid network. We show that by exploiting the real time operation of the ns-3 simulator, it is possible to map such complex scenarios on grid nodes. We run experiments to define the operational zone in which the obtained results are accurate. We also propose a basic mapping algorithm to distribute a simulation scenario in several nodes.
Published: 2012

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114 results on '"Université de la Manouba [Tunisie] (UMA)"'

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