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264 results on '"Zarai, Faouzi"'

2. Blockchain-Based Trust Management for IoMT Environment

Author

Fourati, Mariem, Meddeb-Makhlouf, Amel, Zarai, Faouzi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ben Hedia, Belgacem, editor, Maleh, Yassine, editor, and Krichen, Moez, editor

Published
2024
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3. A Fuzzy Logical RAT Selection Scheme in SDN-Enabled 5G HetNets

Author

Ben Ali, Khitem, Zarai, Faouzi, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Park, Ji Su, editor, Takizawa, Hiroyuki, editor, Shen, Hong, editor, and Park, James J., editor

Published
2024
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8. Learning-Based Evaluation of Routing Protocol in Vehicular Network Using WEKA

Author

Hadrich, Amal, Makhlouf, Amel Meddeb, Zarai, Faouzi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, He, Xin, editor, Shao, En, editor, and Tan, Guangming, editor

Published
2021
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11. Distributed Trust-Based Monitoring Approach for Fog/Cloud Networks

Author

Daoud, Wided Ben, Meddeb-Makhlouf, Amel, Zarai, Faouzi, Obaidat, Mohammad S., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Venkata Krishna, P., editor, and Obaidat, Mohammad S., editor

Published
2020
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12. Implementation Study and Performances Evaluation of an 802.11ad Model Under NS-3

Author

Omheni, Nouri, Bouabidi, Imen, Zarai, Faouzi, Obaidat, Mohammad S., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Venkata Krishna, P., editor, and Obaidat, Mohammad S., editor

Published
2020
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13. Optimizing high availability multi-controller placement in SDN/NFV 5G networks: a survey.

Author

Rasool, Samer Mohammed, Boujelben, Yassine, and Zarai, Faouzi

Subjects
SOFTWARE-defined networking, TELECOMMUNICATION systems, NETWORK performance, 5G networks, QUALITY of service, ENERGY consumption
Abstract

In meeting the diverse and occasionally conflicting quality of service (QoS) requirements associated with modern communication networks, 5G technology has emerged as a pivotal player. In its architecture, 5G has adopted network function virtualization (NFV) and cloud-based approaches, aiming to simplify network and service deployment, operational processes, and management. The convergence of software defined networking (SDN) and NFV offers an effective solution, enabling scalable and high-performance 5G networks. However, this integration poses critical challenges, with the placement of SDN controllers being a central concern due to its significant impact on network performance, covering aspects such as latency, costs, and energy efficiency. This challenge is known as the controller placement problem (CPP). The central theme of this paper revolves around the intricate relationship between 5G core networks, virtualization technology, and the pressing concern of SDN controller placement, underscoring its significance in the modern networking landscape. We provide a survey of recent methodologies aimed at solving the CPP within the realm of SDN, with a particular focus on resiliency and high availability. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Cooperative Radio Resources Allocation and Congestion Prevention Scheme for LTE-A

Author

Houda, Mzoughi, Zarai, Faouzi, Obaidat, Mohammad S., Sadoun, Balqies, Kamoun, Lotfi, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Obaidat, Mohammad S., editor, Ören, Tuncer, editor, and Merkuryev, Yuri, editor

Published
2018
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29. ISEND: An Improved Secure Neighbor Discovery Protocol for Wireless Networks

Author

Bouabidi, Imen El, Smaoui, Salima, Zarai, Faouzi, Obaidat, Mohammad S., Kamoun, Lotfi, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Liu, Ting, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Obaidat, Mohammad S., editor, and Holzinger, Andreas, editor

Published
2015
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30. A Robust Stream Control Transmission Protocol (SCTP)-Based Authentication Protocol

Author

Rekik, Malek, Makhlouf, Amel, Obaidat, Mohammad S., Zarai, Faouzi, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Liu, Ting, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Obaidat, Mohammad S., editor, and Holzinger, Andreas, editor

Published
2015
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31. ST-based Deep Learning Analysis of COVID-19 Patients

Author

Frikha Hounaida, Odette Fokapu, Chrifi-Alaoui Larbi, Meddeb Makhlouf Amel, and Zarai Faouzi

Subjects
Biomedical Engineering, Bioengineering, General Medicine, General Biochemistry, Genetics and Molecular Biology
Abstract

The number of deaths worldwide caused by COVID-19 continues to increase and the variants of the virus whose process we do not yet master are aggravating this situation. To deal with this global pandemic, early diagnosis has become important. New investigation methods are needed to improve diagnostic performance. A very large number of patients with COVID-19 have with cardiac arrhythmias often with ST segment elevation or depression on an electrocardiogram. Can ST-segment changes contribute to automatic diagnosis of COVID-19? In this article, we have tried to answer this question. We propose in this work a method for the automatic identification of COVID patients which exploits in particular the modifications of the ST segment observed on recordings of the ECG signal. Two sources of data allowed the development of the database for this study: 300 ECGs from the "physioNet" database with prior measurement of the ST segments, and 100 paper ECGs of patients from the cardiology department of the hospital X in Tunis registered on (non-covid) topics and covid topics. Four learning algorithms (ANN, CNN-LSTM, Xgboost, Random forest) were then applied on this database. The evaluation results show that CNN-LSTM and Xgboost present better accuracy in terms of classifying covid and non-covid patients with an accuracy rate of 87% and 88.7% respectively.

Published
2022

40. Design and Implementation of a Simulation Environment for the Evaluation of Authentication Protocols in IEEE 802.11s Networks

Author

Daly, Ikbel, Zarai, Faouzi, Kamoun, Lotfi, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Del Ser, Javier, editor, Jorswieck, Eduard Axel, editor, Miguez, Joaquin, editor, Matinmikko, Marja, editor, Palomar, Daniel P., editor, Salcedo-Sanz, Sancho, editor, and Gil-Lopez, Sergio, editor

Published
2012
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41. Re-authentication Protocol for Vertical Handoff in Heterogeneous Wireless Networks

Author

Daly, Ikbel, Zarai, Faouzi, Kamoun, Lotfi, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Del Ser, Javier, editor, Jorswieck, Eduard Axel, editor, Miguez, Joaquin, editor, Matinmikko, Marja, editor, Palomar, Daniel P., editor, Salcedo-Sanz, Sancho, editor, and Gil-Lopez, Sergio, editor

Published
2012
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49. Multi‐layer neural network algorithm for vehicle‐to‐everything communication in 5G networks.

Author

Feki, Souhir, Hamdi, Monia, Belghith, Aymen, Zarai, Faouzi, and Algarni, Abeer D.

Subjects
TELECOMMUNICATION systems, 5G networks, INTELLIGENT transportation systems, MULTICASTING (Computer networks), RADIO resource management, SPECTRUM allocation, INTERNET of things
Abstract

Summary: Internet of Vehicles (IoVs), the emerging trend of Internet of Things (IoTs), has undoubtedly become a promising trend to improve communication among vehicles on the roads. Vehicle‐to‐everything (V2X) communication that is based on 5G technology enables vehicle users to communicate and collaborate with each other to enhance road traffic efficiency and safety. Owing to the increased traffic load and restricted resources of existing network substructure, a channel that responds to the latency and reliability needs of V2X communication must be designed. Thereby, several intelligent spectrum allocation techniques have been proposed to improve the system's overall effectiveness. In this paper, we discuss the spectrum sharing issue of V2X communication in Device‐to‐Device (D2D)‐based cellular networks. We propose a new multi‐layer neural network (MLNN)‐based Resource Allocation and sharing approach (MNNRA) for D2D‐based V2X communications. According to the main advantages of MLNN, the proposed algorithm takes several profits by improving system performance while reducing computational complexity. Numerical analysis is presented to approve the effectiveness of our proposed solution in terms of network sum rate, packet reception ratio, resource utilization ratio, and time complexity. [ABSTRACT FROM AUTHOR]

Published
2023
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50. Resource allocation for Vehicle‐to‐Everything communications: A survey.

Author

Brahmi, Ibtissem, Koubaa, Hend, and Zarai, Faouzi

Subjects
RESOURCE allocation, RADIO resource management, 4G networks, 5G networks, QUALITY of service, MULTICASTING (Computer networks)
Abstract

The Deployment of new techniques to accommodate high data throughput, significant reliability, and quality of service (QoS) delivery prompts the use of 4G and 5G networks in several applications. In these networks, Vehicle‐to‐Everything (V2X) communications authorised by device‐to‐device cellular links (D2D) have gained momentum because of their potential to improve road safety, efficiency, and convenience. This improvement is to be provided by different types of V2X communications, including Vehicle‐to‐Pedestrian (V2P), Vehicle‐to‐Vehicle (V2V), Vehicle‐to‐Infrastructure (V2I), and Vehicle‐to‐Network (V2N) communications. However, considering several limiting factors such as mobility and increasing number of vehicles, efficiency of using wireless resources is a challenging task. Indeed, different research works on V2X radio resource allocation have been studied and evaluated with respect to several criteria. In this study, a survey of recent works but in a different way synthesising radio resource allocation methods is presented. Resource allocation classification into different categories is proposed. This classification is related to three main factors. The first takes into account the selection mode factor. It highlights the use of different approaches in each of the centralised, distributed, and mixed modes. The second one takes into account the considered performance criteria, including capacity, priority, delay etc. The last one focuses on the methods and scenarios used to evaluate a resource allocation approach. [ABSTRACT FROM AUTHOR]

Published
2023
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