34 results
Search Results
2. Unmanned aerial vehicles in collaboration with fog computing network for improving quality of service.
- Author
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Gupta, Akshita and Gupta, Sachin Kumar
- Subjects
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QUALITY of service , *MARKOV processes , *EDGE computing - Abstract
Summary: In this paper, we study a UAV‐based fog or edge computing network in which UAVs and fog/edge nodes work together intelligently to provide numerous benefits in reduced latency, data offloading, storage, coverage, high throughput, fast computation, and rapid responses. In an existing UAV‐based computing network, the users send continuous requests to offload their data from the ground users to UAV–fog nodes and vice versa, which causes high congestion in the whole network. However, the UAV‐based networks for real‐time applications require low‐latency networks during the offloading of large volumes of data. Thus, the QoS is compromised in such networks when communicating in real‐time emergencies. To handle this problem, we aim to minimize the latency during offloading large amounts of data, take less computing time, and provide better throughput. First, this paper proposed the four‐tier architecture of the UAVs–fog collaborative network in which local UAVs and UAV–fog nodes do smart task offloading with low latency. In this network, the UAVs act as a fog server to compute data with the collaboration of local UAVs and offload their data efficiently to the ground devices. Next, we considered the Q‐learning Markov decision process (QLMDP) based on the optimal path to handle the massive data requests from ground devices and optimize the overall delay in the UAV‐based fog computing network. The simulation results show that this proposed collaborative network achieves high throughput, reduces average latency up to 0.2, and takes less computing time compared with UAV‐based networks and UAV‐based MEC networks; thus, it can achieve high QoS. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
3. Green Rate‐Splitting Multiple Access for Multicell and Rate Fairness Maximization.
- Author
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Hu, Guangwu, Kumari, Saru, Amoon, Mohammed, and Chen, Chien‐Ming
- Subjects
- *
SUSTAINABLE design , *TELECOMMUNICATION systems , *QUALITY of service , *ENERGY consumption , *FAIRNESS - Abstract
ABSTRACT This paper investigates the green design of rate‐splitting multiple access (RSMA) for multicell, multiantenna downlink communication systems to maximize rate fairness under quality of service (QoS) constraints. An optimization framework is developed to minimize the weighted sum power consumption by jointly optimizing transmit beamformers, power allocation, and common/private rate split while ensuring per‐user minimum rate requirements. The algorithm design explicitly considers the rate fairness among users via a newly proposed green fairness index. The nonconvex transceiver design problems are transformed into tractable forms and efficiently solved by applying tools from alternating optimization and successive convex approximation. Extensive simulations demonstrate that the proposed green RSMA optimization framework can effectively balance the throughput among cell‐edge and cell‐center users, hence combating the near‐far effect. Simulation results show that at 20‐dB SNR, green RSMA achieves over 20% and 50% sum rate improvement compared with NOMA and OMA, respectively. Moreover, green RSMA maintains high fairness among users, even when the channel conditions are disparate. When the weakest user is located 120 m from the base station, green RSMA exhibits a 21.2% higher fairness index than NOMA, showcasing its ability to ensure equitable service quality across users. The framework also achieves substantial energy efficiency gains, consuming less power while providing higher data rates than baseline schemes. These results demonstrate the effectiveness of green RSMA in enhancing spectral efficiency, user fairness, and energy efficiency in multicell, multiantenna communication systems, making it a promising solution for sustainable and high‐performance wireless networks. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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4. An enhanced HFPA‐IHS‐ORP‐based optimization mechanism for efficient bandwidth allocation in software‐defined networks.
- Author
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Paulraj, Jeyabharathi and Rajaram, Mahalakshmi
- Subjects
SOFTWARE-defined networking ,BANDWIDTH allocation ,DATA transmission systems ,QUALITY of service ,VIRTUAL machine systems ,ENERGY consumption ,METAHEURISTIC algorithms - Abstract
Summary: Nowadays, due to the increased amount of network users and resources, some emerging technologies like big data and cloud have been developed. But managing these types of networks is more complex; in order to solve this issue, a software‐defined network (SDN) is developed for managing the network in a comfortable manner, in which maintaining load balance and energy efficiency of network is highly important to satisfy the requirements of quality of service (QoS). For these reasons, various optimization‐based algorithms are developed in the traditional works, but these lack with the limitations of increased network traffic and energy consumption. In order to solve these issues, an enhanced hybrid flower pollination algorithm (HFPA) with improved harmony search (IHS) is developed in this paper. It intends to obtain an improved resource utilization and reduced network load and delay by efficiently allocating the bandwidth to the network. Moreover, an optimal routing protocol (ORP) is employed to perform the data transmission with condensed network traffic. During experimentation, the performance results of the proposed algorithm are examined and compared with some traditional methodologies. From the results, it is noted that the proposed HFPA‐IHS‐ORP provides the better results than the existing methods. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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5. Directional antennas MAC protocol for energy-efficient wireless sensor networks with mobile sink.
- Author
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Ajofoyinbo, Abayomi M. and Li, Wei W.
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WIRELESS sensor networks ,DIRECTIONAL antennas ,WIRELESS communications ,ENERGY consumption ,QUALITY of service ,MATHEMATICAL models - Abstract
Using mobile sink with directional antennas (DAs) is one of the major efforts in the literature to improve energy efficiency in wireless sensor networks (WSNs). However, there are three important concerns that have remained unresolved when utilizing this method: namely, (i) packets may be lost because of the continuous motion of the mobile sink; (ii) energy may be wasted when the mobile sink is transiting from one point to another; and (iii) the antennas may not completely scan the entire vicinity of the mobile sink because of continuous directional motion. Our research for this paper targeted these three concerns. For this purpose, a novel semi-Markov decision process-based model is constructed for energy-efficient WSNs with a mobile sink using DAs. Optimal results in terms of the average optimal value of the sum of expected total discounted energy consumption is achieved. Through this optimal analysis, the conclusion is reached that packet loss due to the continuous directional motion of the mobile sink will be eliminated, energy will be preserved, and the mobile sink will completely scan its vicinity using the four DAs. Our results may provide guidelines for using mobile sinks with DAs to further improve energy efficiency in WSNs. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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6. Power allocation for enhancing energy efficiency in unmanned aerial vehicle networks.
- Author
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Rose, J. T. Anita, Subasini, C. A., Vinnarasi, F. Sangeetha Francelin, and Karuppiah, S. P.
- Subjects
- *
ENERGY consumption , *OPTIMIZATION algorithms , *POWER resources , *QUALITY of service , *TELECOMMUNICATION systems , *DRONE aircraft - Abstract
Summary: The non‐orthogonal multiple access (NOMA) wireless networks are a robust multi‐access mechanism that serves multiple clients accessing the same resource block simultaneously. The fifth‐generation wireless networks offer huge efficiency in spectrum utilization, which can be exploited to deploy NOMA for LOS communication of unmanned aerial vehicles (UAVs). Previous research has extensively analyzed various aspects of NOMA‐UAV communication systems, including user access fairness, coverage, maximizing system capacity, and total energy efficiency. However, only a few researchers have focused on maximizing the EE of NOMA‐UAV wireless networks with user quality of service (QoS) constraints. This paper proposes a fuzzy logic‐based crossover‐based coati optimization algorithm for maximizing the energy efficiency of NOMA‐UAV, along with user scheduling. The main objective of this model is to offer a solution to the joint energy efficiency and user QoS scheduling problem. The fuzzy decision‐making strategy optimizes the energy efficiency (EE) of NOMA‐UAV by selecting appropriate power and time resources. Additionally, the crossover‐based coati optimization algorithm transforms the subchannel allocation problem into a two‐sided matching procedure. The efficiency of the proposed algorithm is evaluated concerning overall residual energy, number of remaining nodes, and time consumption. The experimental outcomes demonstrate the capability of the proposed model in optimizing the energy efficiency of the NOMA‐UAV network by identifying the optimal resource set in terms of time and power while satisfying the clients' QoS. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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7. Efficient routing and performance amelioration using Hybrid Diffusion Clustering Scheme in heterogeneous wireless sensor network.
- Author
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Manoharan, Gurupriya and Sumathi, Appranchi
- Subjects
WIRELESS sensor networks ,TIME division multiple access ,POWER resources ,ENERGY consumption ,QUALITY of service ,MARKOV processes - Abstract
Summary: Heterogeneous wireless sensor networks (HWSNs) have a wide range of application in the contemporary world particularly in sensing and hunting of events without human interference. Due to this limitation of network resources and energy of sensor nodes, the contention of available resources for transmission will increase the energy consumption in the network and degrade the performance of Quality of Service. During dense traffic conditions, sensor nodes in close proximity to base station (BS) faces severe bottleneck resulting in congestion and energy hole problem. The efficient utilization of energy and packet loss is due to link break and by traffic analysis attack is a primary threat in HWSN applications. To sustain maximum energy in the network, two important aspects are considered, namely, flawless selection of path and concise clustering. This paper describes about a multi‐objective‐based Hybrid Diffusion Clustering Scheme (HDCS) through Jellyfish routing protocol with Time Division Multiple Access (JRP‐TDMA)‐based routing method in HWSN. Cluster head is elected based on multiple objectives such as residual energy, cost, and distance. Once CH selection is done, JRP‐TDMA based on available timeslot handpicks the best path for transmitting to BS. The proposed protocol is analyzed, simulated, and performance results are correlated with existing protocols namely, diffusion clustered routing protocol (DCRP), efficient unequal clustering (EEUC), Markov chain model‐based optimal cluster head (MOCH), and genetic algorithm (GA). The number of alive sensor nodes of proposed method has increased by 24.4% when compared with other approaches. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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8. SARAS: Secure resource allocation scheme for NOMA‐based device‐to‐device communication using coalition game and cognitive radio.
- Author
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Gupta, Rajesh and Tanwar, Sudeep
- Subjects
RESOURCE allocation ,COGNITIVE radio ,COALITIONS ,QUALITY of service ,ENERGY consumption ,5G networks - Abstract
Summary: Device‐to‐device (D2D) is a fifth‐generation (5G) network's key technology which allows devices in proximity to communicate one‐to‐one without a base station (BS). Moreover, it ameliorates channel gain, communication latency, energy efficiency, and spectral efficiency. However, mitigating interference (D2D and cellular mobile users [CMUs]) and eavesdropper effect (at D2D links) is a prime concern in D2D communication. These issues can be resolved with an efficient allocation of radio resources. Cognitive radio (CR) and non‐orthogonal multiple access (NOMA) are viable solutions to resolve the aforementioned issues. Motivated by the aforementioned discussion, in this paper, we propose a joint CR and NOMA‐based scheme, that is, SARAS for secure resource allocation in D2D communication. It aims to maximize the overall sum rate and secrecy capacity of D2D users with assured quality of service (QoS) and quality of experience (QoE). CR is used for pairing between strong and weak D2D users (i.e., D2D pair) and NOMA's successive interference cancelation (SIC) technique helps to reduce the interference effect between cellular and D2D users. We used a coalition game for efficient resource utilization, which transfers D2D users from one coalition to another based on the preference order and channel conditions. This landed D2D users in the best coalition having favorable channel conditions. We have executed the proposed SARAS scheme over the MATLAB simulation tool, considering a varying number of D2D and CMUs. Simulation results show that the proposed scheme outperforms the traditional OFDMA, random, and nearest approaches concerning parameters such as sum rate and secrecy capacity. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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9. Design of a quality of service‐aware fault‐proof secure Q‐learning‐based Internet of Things kernel patch with multipath and multichannel capabilities.
- Author
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Vijayrao Shankhpal, Shilpa and Savadatti Hanumantha, Brahmananda
- Subjects
INTERNET of things ,END-to-end delay ,FAULT tolerance (Engineering) ,QUALITY of service ,ENERGY consumption - Abstract
Summary: In recent times, the expeditious growth of Internet of Things (IoT) offers applications to ease day‐to‐day activities with minimum human effort. Once the IoT application installed, the connected devices perform their tasks without human intervention. Hence, the need of performance optimization and security enhancement is vital to minimize end‐to‐end communication delay, improve kernel‐level security, mitigate faults adaptively, and have suitable backup options in case of node failure. This paper proposes a quality of service (QoS)‐aware fault‐proof secure Q‐learning‐based IoT (QIoT) kernel‐level protocol that integrates multipath aggregation and fuzzy authentication for security, with multichannel communication for improved QoS. Especially, this protocol integrates a source‐level clustering mechanism based on Q‐learning that aims at reducing route search delay. In order to provide fault tolerance, the kernel is equipped with real‐time fault‐tolerance mechanism that is activated in case of node‐level faults. Due to integration of Q‐learning, computational overheads are reduced by over 15% when compared with Zephyr, AliOS, and RTX kernels. This reduction in computational overheads facilitates light‐weight behavior of the kernel, due to which other QoS parameters like energy consumption, throughput, and routing overhead are reduced. The proposed QIoT kernel‐level protocol is compared with standard kernel modules, and performance evaluation showcases an improvement in authentication security by 8%, end‐to‐end delay by 5%, energy efficiency by 25%, and fault mitigation by 18%, thereby assisting the use of the proposed kernel for real‐time deployments. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
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10. Internet of Things offloading: Ongoing issues, opportunities, and future challenges.
- Author
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Heidari, Arash, Jabraeil Jamali, Mohammad Ali, Jafari Navimipour, Nima, and Akbarpour, Shahin
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INTERNET of things ,TELECOMMUNICATION ,QUALITY of service ,ENERGY consumption - Abstract
Summary: Internet of Things (IoT) has very remarkable advantages over customary communication technologies. However, IoT suffers from different issues, such as limited battery life, low storage capacity, and little computing capacity. For this reason, in many IoT applications and devices, we require an alternative unit to execute the tasks from the user's device and return results. In general, the problem of limited resources by transferring the computation workload to other devices/systems with better resources is addressed by offloading computation. It can be focused on improving the application, extending battery life, or expanding storage capacity. The offloading operation can be performed based on various quality of service (QoS) parameters that contain computational demands for load balancing, response time, application, energy consumption, latency, and other things. Moreover, the systematic literature review (SLR) method is used to identify, assess, and integrate findings from all relevant studies that address one or more research questions on IoT offloading and conduct a comprehensive study of empirical research on offloading techniques. However, we present a new taxonomy for them based on offloading decision mechanisms and overall architectures. Furthermore, we offer a parametric comparison for the offloading methods. As well, we present the future direction and research opportunities in IoT offloading computation. This survey will assist academics and practitioners to directly understand the progress in IoT offloading. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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11. Capsule network‐based data pruning in wireless sensor networks.
- Author
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S, Umamaheswari
- Subjects
WIRELESS sensor networks ,PRUNING ,NETWORK routing protocols ,ENERGY consumption ,QUALITY of service - Abstract
Summary: The development of the wireless sensor networks (WSN) being deployed among numerous application for its sensing capabilities is increasing at a very fast tread. Its distributed nature and ability to extend communication even to the inaccessible areas beyond communication range that lacks human intervention has made it even more attractive in a wide space of applications. Confined with numerous sensing nodes distributed over a wide area, the WSN incurs certain limitations as it is battery powered. Many developed routing enhancements with power and energy efficiency lacked in achieving the significant improvement in the performance. So, the paper proposes a machine learning system (capsule network) and technique (data pruning) for WSN involved in the real world observations to have knowledge‐based learning from the experience for an intelligent way of handling the dynamic and real environment without the intervention of the humans. The WSN cluster‐based routing aided with capsule network and data pruning proffered in paper enables the WSN to have a prolonged network lifetime, energy efficiency, minimized delay, and enhanced throughput by reducing the energy usage and extending communication within the limited battery availability. The proposed system is validated in the network simulator and compared with the WSN without ML to check for the performance enhancements of the WSN with ML inclusions in terms of quality of service enhancements, network lifetime, packet delivery ratio, and energy to evince the efficacy of the WSN with capsule network‐based data pruning. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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- View/download PDF
12. BeSleep: Blockchain‐enabled distributed sleeping strategies of small base stations in ultra dense networks.
- Author
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Venkateswararao, Kuna and Swain, Pravati
- Subjects
- *
BLOCKCHAINS , *5G networks , *ENERGY consumption , *QUALITY of service - Abstract
Summary: Small cell networks can fulfill the increasing demandfor the high data rate of wireless applications. Energy efficiency is an important design parameter of the ultra dense small cell network (UDSCN). The sleeping strategy of small base stations (s‐BSs) is used to enhance the network's energy efficiency. An efficient sleeping strategy of s‐BSs is required while preserving users' quality of service (QoS). The idle s‐BSs can be switched to sleep mode. This paper proposes a blockchain‐enabled solution for the sleeping strategy of s‐BSs. Here, a blockchain‐enabled small cell network is created between the s‐BSs. The network is decentralized, which eliminates the workload of the macro base station (MBS). The proposed network architecture is enabled as a decentralized network through blockchain. The blockchain provides distributed control over the s‐BS operations through a smart contract. Here, smart contracts act as distributed self organizing network features to handle self‐transactions among small cells for switching off s‐BSs in the network. All the software logic required to perform s‐BS operations is written in a smart contract using Ethereum. The proposed solution improves energy efficiency and enables the ultra dense small cell network to be decentralized. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
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13. Fuzzy preference ranking organization method for enrichment evaluation‐based node cooperation technique for improving QoS in MANETs.
- Author
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Mylsamy, Rajkumar and Jayaprakash, Karthika
- Subjects
AD hoc computer networks ,COOPERATION ,NETWORK performance ,FUZZY numbers ,QUALITY of service ,ENERGY consumption - Abstract
Summary: Cooperation between mobile nodes is the predominant factor required for achieving reliable data dissemination in mobile ad hoc networks (MANETs), since non‐cooperative nodes crumbles the routing process and degrades network performance. The degree of non‐cooperation rendered by mobile nodes need to be accurately identified by exploring feasible and comprehensive number of criteria to achieve maximized cooperation in uncertain MANET. In this paper, fuzzy preference ranking organization method for enrichment evaluation (FPROMETHEE)‐based node cooperation technique is proposed with the merits of trapezoidal fuzzy interval numbers that aids in the selection of high trustworthy mobile nodes for attaining maximized data delivery. This FPROMETHEE technique utilizes complex and multiple criteria for potential ranking in the presence of finite number of mobile nodes. It prevented the bias of information that is more common during the judgmental process associated with the cooperation estimation of mobile nodes. It includes information about the relative weights of criteria and decision maker's preferences for estimating the trust of mobile nodes to include or isolate them from the routing path. It is also useful in handling the degree of uncertainly involved in the process of routing without compromising Quality of Service (QoS) level in the network. The simulation experiments of the proposed FPROMETHEE technique conducted using ns‐2 simulator confirmed its predominance in enhancing the packet dissemination rate, throughput, energy consumptions, total overhead, and packet loss rate for different number of mobile nodes, malicious nodes, and pairs of source and destination nodes. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
14. Timer-based power management for infrastructure IEEE 802.11 WLAN with unreliable wireless links.
- Author
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Luan, Shenji, Zhu, Yi‐hua, Lv, Hangyu, and Hu, Hua
- Subjects
IEEE 802.11 (Standard) ,WIRELESS LANs ,HYPERLINKS ,QUALITY of service ,ENERGY consumption ,WIRELESS sensor networks - Abstract
SUMMARY Efficient power management is a critical requirement for the battery-operated portable electronic devices incorporating wireless transceivers to have a longer runtime. The existing timer-based power management (TPM) is able to balance energy saving and quality of service requirements by tuning the values of its idle and doze timers. In this paper, the TPM applied in the infrastructure IEEE 802.11 wireless local area network with unreliable wireless links, referred to as TPM-UWL, is presented. A novel stochastic analysis model is developed for TPM-UWL, based on which the probabilities that a mobile station (STA) is at active, dozing, and idle states are obtained. Additionally, the number of buffered frames at the access point and the sleeping STA, the STA's average power consumption, and a frame's average delay under TPM-UWL are derived. Further, the optimization problem that minimizes power consumption under the constraints of delay and buffer size is presented, which enables an STA to set its maximum number of retransmissions and the values of the idle and doze timers in the medium access control layer such that power consumption is minimized, while the constraints of delay and buffer size are satisfied. Copyright © 2014 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
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15. Multi‐objective lion optimization for energy‐efficient multi‐path routing protocol for wireless sensor networks.
- Author
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Singh, Omkar, Rishiwal, Vinay, and Yadav, Mano
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WIRELESS sensor networks ,ENERGY consumption ,DATA transmission systems ,MATHEMATICAL optimization ,QUALITY of service - Abstract
Summary: Wireless Sensor Network (WSNs) is a collection of sensor nodes with a base station for data transmission. Mostly the network has various paths with the unbalanced nodes; therefore, energy consumption is always high. This causes the letdown of quality of service (QoS) routing metrics such as delay, inefficient throughput in WSNs. This paper concentrates on this problem and proposes an energy‐efficient multipath routing (EEMR) protocol for WSNs. EEMR protocol computes the optimal path using the multi‐objective lion optimization algorithm with less energy consumption. The main aim of EEMR protocol is to achieve an efficient path among multiple paths to satisfy quality requirements such as delay, throughput, energy consumption, delivery ratio, loss ratio, and latency. Thus, the proposed EEMR protocol is designed with a multi‐objective function using an optimization algorithm and implemented in MATLAB. The simulation results show that the performance of the proposed protocol is very efficient in comparison to state of the art. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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16. Adaptive modulation allocation algorithm in elastic optical networks.
- Author
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Bandiri, Sabi Y.M., Pimenta, Tales C., Durand, Fabio R., and Spadoti, Danilo H.
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ADAPTIVE modulation ,ALGORITHMS ,ENERGY consumption ,QUALITY of service - Abstract
Summary: This paper introduces a new way to allocate the modulation format and improves the energy efficiency in elastic optical networks. For every connection request, both the quality of transmission and quality of service requirements are investigated. The allocation of modulation formats is based on both the physical distance and the required number of frequency slots. To improve the energy efficiency, Yen's algorithm is executed for every connection requested, and the lightpath with the lowest power consumption is selected. Numerical results were compared with adaptive modulation algorithms presented in the existing literature. The energy efficiency was improved by up to 27%, the used bandwidth available was reduced by up to 60%, and the blocking probability was decreased by 30% using our proposed adaptive algorithm. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
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17. Energy‐efficient resource allocation in relay‐aided orthogonal frequency division multiplexing cognitive radio networks with quality of service provisioning.
- Author
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Yan, Feiyu, Zhao, Jihong, Qu, Hua, and Xu, Xiguang
- Subjects
ORTHOGONAL frequency division multiplexing ,RESOURCE allocation ,RADIO networks ,DECOMPOSITION method ,FRACTIONAL programming ,QUALITY of service ,COGNITIVE radio ,ENERGY consumption - Abstract
Summary: This paper investigates the energy‐efficient resource allocation problem in orthogonal frequency division multiplexing (OFDM)‐based cognitive radio (CR) networks with multiple decode‐and‐forward relays. In order to maximize the system energy efficiency (EE), we jointly optimize the relay selection, subcarrier pairing, and power allocation subject to the transmit power constraints, the interference thresholds at the primary system, and the quality of service (QoS) provisioning for the CR system. Using the fractional programming and the Lagrangian dual decomposition method, the optimization problem which is a mixed‐integer nonlinear program (MINLP) can be efficiently solved to obtain an asymptotically optimal solution. We also propose a suboptimal scheme to reduce the computational complexity at the expense of a little performance loss. Simulation results demonstrate the performance of proposed schemes and the effect of the constraints values. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
18. Two‐sided matching framework for optimal user association in 5G multi‐RAT UDNs.
- Author
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Amine, Mariame, Kobbane, Abdellatif, Ben‐Othman, Jalel, and Walid, Abdellaziz
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MATCHING theory ,NETWORK performance ,QUALITY of service ,DISTRIBUTED algorithms ,ENERGY consumption ,CELL phone systems ,MULTIUSER computer systems ,RADIO technology - Abstract
Summary: Recently, academic and industrial research communities are paying more explicit attention to the 5G multiple radio access technology ultra‐dense networks (5G multi‐RAT UDNs) for boosting network capacity, especially in UD urban zones. To this aim, in this paper, we intend to tackle the user association problem in 5G multi‐RAT UDNs. By considering the decoupled uplink/downlink access (DUDA), we divide our user association problem into two distinct subproblems representing, respectively, the uplink and the downlink channels. Next, we formulated each one as a nonlinear optimization problem with binary variables. Then, to solve them, we were restricted by the hard complexity, as well as the hard feasibility of centralized user association schemes. Thus, to resolve our user association problem in a reasonable time and distributed manner, we formulated each subproblem as a many‐to‐one matching game based on matching theory. Next, we provide two fully distributed association algorithms to compute the uplink and downlink stable matching among user equipments (UEs) and base stations (BSs). Simulation results corroborate our theoretical model and show the effectiveness and improvement of our achieved results in terms of the overall network performance, quality of service (QoS), and energy efficiency (EE) of UEs. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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19. Energy‐efficient resource allocation for device‐to‐device communication through noncooperative game theory.
- Author
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Noor Mohammed, Vali Mohamad, Sreenivasan, Prithvi Mothi, Ravishankar, Tharrun, Hariharan, Subramaniyam, and Lakshmanan, Muthukaruppan
- Subjects
RESOURCE allocation ,GAME theory ,NASH equilibrium ,ENERGY consumption ,QUALITY of service - Abstract
Summary: Wireless network with high data rate applications has seen a rapid growth in recent years. This improved quality of service (QoS) leads to huge energy consumption in wireless network. Therefore, in order to have an energy‐efficient resource allocation in cellular system, a device‐to‐device (D2D) communication is the key component to improve the QoS. In this paper, we propose a noncooperative game (NCG) theory approach for resource allocation to improve energy efficiency (EE) of D2D pair. A three‐tier network with macrocell base station (MBS), femtocell base station (FBS), and D2D pair is considered, which shares the uplink resource block. A resource allocation strategy with constraints is arrived, which maintains minimum throughput for each user in the network. The proposed resource allocation strategy optimizes the EE of D2D pair in the three‐tier network, which achieves Nash equilibrium (NE) and Pareto optimality (PO). Simulation results validate that EE is uniform and optimum for all D2D pair, which converges to NE when channel is static and it converges to PO when the channel is dynamic. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
20. Energy efficient and effective node deployment for wireless sensor network.
- Author
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Kumar Gupta, Sumit, Kumar, Sachin, and Tyagi, Sudhanshu
- Subjects
WIRELESS sensor networks ,WIRELESS sensor nodes ,ENERGY consumption ,AD hoc computer networks ,INTERNET of things ,COMPUTER network protocols ,QUALITY of service - Abstract
Summary: The development of tiny sensor nodes (SNs) has incarnated numerous applications in the field of wireless sensor networks (WSN). These devices became much popular in multidisciplinary research area such as the internet of things (IoT). However, the use of these devices has been restricted due to some constraints like SN energy, data aggregation, quality of service (QoS), reliability, SN deployment, scalability, energy consumption, and many more. Among all these constraints, we focus on SN energy, SN deployment, and energy consumption of the network. Because if the consumption of SN energy is less, network lifetime automatically increases. So, we propose active–passive node topology on deployed SNs which enhance the network lifetime. With the help of the proposed mechanism, the lifetime and stability have increased by 60% and 3%, respectively, as compared with directed diffusion protocol in Experiment 1. In another experiment, the lifetime has increased by 67%, 64%, and 62% as compared with LEACH, NEAP, and DREEP, respectively, in homogeneous environment. The proposed scheme also performed significant improvement in heterogeneous environment. The simulation performance shows that the proposed protocol increases the network lifetime and stability of the network. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
21. A QoS-aware green cooperative compressed sensing scheme in IEEE 802.22 WRAN.
- Author
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Shan, Baokun, Li, Xi, Ji, Hong, and Li, Yi
- Subjects
COMPRESSED sensing ,QUALITY of service ,IEEE 802 standard ,ANTENNAS (Electronics) ,ENERGY consumption ,PROBABILITY theory ,COMPUTER simulation - Abstract
SUMMARY Distributed antennas (DAs) are introduced into IEEE 802.22 wireless regional area network (WRAN) in order to improve consumer premise equipment (CPE) access in high density or large scale network scenario. However, guaranteeing the CPEs' QoS in DA-WRAN in the process of spectrum sensing is largely ignored. In this paper, we introduce compressed sensing theory into DA-WRAN and propose a QoS-Aware Green Cooperative Compressed Sensing scheme, which aims to maximize energy efficiency of DA-WRAN under its basic QoS constraints of packet drop probability, sensing delay and total throughput. In the proposed scheme, the expression for accuracy of compressed signal recovery under certain sparsity is fitted into exponential function, and the number of compressed samples number is taken into account during the energy efficiency optimization for the first time. To solve the formulated nonlinear multivariate optimal problem, a sub-optimal algorithm based on particle swarm optimization is presented. At last, the performances of the proposed scheme are simulated and discussed. The simulation results show that the performance on energy efficiency of proposed scheme is better than contrasting algorithms without compromising CPEs' QoS. Copyright © 2014 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
22. Energy-efficient partner selection in cooperative wireless networks: a matching-theoretic approach.
- Author
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Baidas, Mohammed W. and Afghah, Masoud M.
- Subjects
WIRELESS sensor networks ,ENERGY consumption ,MATCHING theory ,QUALITY of service ,SIGNAL-to-noise ratio - Abstract
In this paper, the problem of stable energy-efficient partner selection in cooperative wireless networks is studied. Each node aims to be paired with another node so as to minimize the total energy consumption required to meet a target end-to-end signal-to-noise ratio requirement and thus maintain quality of service. Specifically, each node ranks every other node in the network according to their energy saving achievable through cooperation. Two polynomial time complexity algorithms based on the stable roommates matching problem are proposed through which nodes are paired according to their preference lists. The first algorithm, denoted Irving's stable matching, may not always have a stable solution. Therefore, the second algorithm-which is a modified version of Irving's algorithm and denoted maximum stable matching-is proposed to find the maximum number of stable disjoint pairs. Simulation results are provided to validate the efficiency of the proposed algorithms in comparison with centralized energy-efficient partner selection as well as other matching algorithms, yielding a trade-off between stability and total energy consumption, but comparable symbol error rate performance and network sum rate. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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23. Energy efficiency optimization for downlink OFDMA system in heterogeneous network with QoS constraints.
- Author
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Bastos, Joaquim, Huq, Kazi Mohammed Saidul, Mumtaz, Shahid, Rodriguez, Jonathan, and Verikoukis, Christos
- Subjects
WIRELESS sensor networks ,ENERGY consumption ,QUALITY of service ,MATHEMATICAL optimization ,LINKS (Satellite telecommunication) ,WIRELESS communications ,MATHEMATICAL models - Abstract
Energy efficiency (EE) has currently turn into one of the major issues in heterogeneous networks (HetNet) paradigm of today's wireless communication industry. In this paper, we optimize EE for downlink OFDMA system in HetNet, taking into account realistic network power consumption model, that is, considering circuit power. This paper investigates the EE maximization using convex optimization theory where primary optimization criterion is data rate in a downlink multiuser HetNet. Given QoS (data rate) requirement, for maximizing EE, a constrained based optimization problem is devised. Because the optimization problem is non-convex in nature, we reconstruct the optimization problem as a convex one and devise a pragmatically efficient novel resource assignment algorithm for maximizing achievable EE, with quick convergence. The considered optimization problem is transformed into a convex optimization problem by redefining the constraint using cubic inequality, which results in an efficient iterative resource allocation algorithm. In each iteration, the transformed problem is solved by using dual decomposition with a projected gradient method. Analytical insights and numerical results exhibit the potency of the devised scheme for the targeted complex wireless systems. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
24. Energy‐delay‐aware caching strategy in green CCN using markov approximation.
- Author
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Dehghani, Fereshte and Movahhedinia, Naser
- Subjects
DISTRIBUTED computing ,ENERGY consumption ,LINEAR programming ,PARALLEL processing ,QUALITY of service ,INTEGER programming - Abstract
Summary: One of the basic challenges in content‐centric networking (CCN) is how to optimize the overall energy consumption of content transmission and caching. Furthermore, designing an appropriate caching policy that considers both energy consumption and quality of service (QoS) is a major goal in green CCN. In this paper, the problem of minimizing the total CCN energy consumption while being aware of the end‐to‐end delay is formulated as an integer linear programming model. Since it is an Non‐deterministic Polynomial‐time (NP)‐hard problem, the Markov approximation method for an energy‐delay aware caching strategy (MAEDC) is proposed through a log‐sum‐exp function to find a near‐optimal solution in a distributed manner. The numerical results show that the MAEDC achieves near‐optimal energy consumption with better delay profile compared with the optimal solution. Moreover, due to the possibility of distributed and parallel processing, the proposed method is proper for the online situation where the delay is a crucial issue. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
25. Joint power allocation and channel assignment for device‐to‐device communication using the Hungarian model and enhanced hybrid Red Fox‐Harris Hawks Optimization.
- Author
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A, Yoganathan, PS, Periasamy, P, Anitha, and N, Saravanan
- Subjects
RED fox ,GENETIC algorithms ,QUALITY of service ,ENERGY consumption - Abstract
Summary: Multihop device‐to‐device (D2D) communication is a promising advancement since it allows wireless users in close proximity to communicate directly with one another without using base stations (BSs). With two nearby users, this technology intends to keep up with the accelerating development of mobile devices and the rising demands of local traffic loads. High‐data‐rate short‐range transmission is made possible by this paradigm, which also lowers network backhaul expenses while improving end‐user experience, spectral efficiency (SE) and network coverage. In order to maximize the cell's overall sum rates, this article examines the problem of selecting the optimal M‐D2D linkages and cellular users (CUs) to form spectrum‐sharing partners while taking quality of service (QoS) and energy efficiency (EE) needs into consideration. This study examines the use of a channel assignment system and a power allocation technique to manage interference in D2D communication scenarios involving many hops (more than one hop). The suggested channel assignment approach is based on the Hungarian method, but the power allocation system is based on the time‐efficient enhanced Harris hawks optimization (HHO) and red fox (RF) algorithms. A genetic algorithm (GA)‐based methodology and various baseline approaches are used to compare the effectiveness of the suggested system. Because it combines exploitation and exploration using a memory‐based local search methodology and a perturbation mechanism, the suggested approach outperforms the GA in simulations. The results clearly demonstrate that the suggested method increases EE by up to 13% by producing the appropriate channel and power assignment for CUs and M‐D2D users. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
26. QoS-driven resource allocation in green OFDMA wireless networks.
- Author
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Sinaie, Mahnaz and Azmi, Paeiz
- Subjects
WIRELESS sensor networks ,QUALITY of service ,RESOURCE allocation ,ENERGY consumption ,FRACTIONAL programming ,ORTHOGONAL frequency division multiplexing - Abstract
In this paper, we present a QoS-driven energy efficient power and subcarrier allocation in green orthogonal frequency division multiple access networks. Our proposed scheme aims at maximizing the effective energy efficiency (EEE), defined as overall effective capacity per total power consumption, subject to given user delay-QoS requirements and an average sum transmit power constraints. We analytically obtain the uniquely global optimal power and subcarrier using fractional programming, which transforms the fractional program into an equivalent parametric convex program that has a tractable solution. Analytical results show that the optimal solution has the same structure as effective capacity maximization and overall power minimization solutions. Simulation results show that there exists a trade-off between EEE and delay. When the delay is more stringent, the EEE decreases. Moreover, when the number of subcarriers increase, EEE increases, where a fixed optimal EEE can be achieved regardless of stringency of delay-QoS requirements. Furthermore, our proposed resource allocation provides significant EEE gains over both the independent resource allocation and overall power minimization schemes. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
27. Energy‐efficient resource allocation in D2D communications for energy harvesting–enabled NOMA‐based cellular networks.
- Author
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Najimi, Maryam
- Subjects
RESOURCE allocation ,ENERGY consumption ,HARVESTING time ,POWER transmission ,QUALITY of service - Abstract
Summary: In this paper, we propose an energy‐efficient power control and harvesting time scheduling scheme for resource allocation of the subchannels in a nonorthogonal multiple access (NOMA)–based device‐to‐device (D2D) communications in cellular networks. In these networks, D2D users can communicate by sharing the radio resources assigned to cellular users (CUs). Device‐to‐device users harvest energy from the base station (BS) in the downlink and transmit information to their receivers. Using NOMA, more than one user can access the same frequency‐time resource simultaneously, and the signals of the multiusers can be separated successfully using successive interference cancellation (SIC). In fact, NOMA, unlike orthogonal multiple access (OMA) methods, allows sharing the same frequency resources at the same time by implementing adaptive power allocation. Our aim is to maximize the energy efficiency of the D2D pairs, which is the ratio of the achievable throughput of the D2D pairs to their energy consumption by allocating the proper subchannel of each cell to each device user equipment (DUE), managing their transmission power, and setting the harvesting and transmission time. The constraints of the problem are the quality of service of the CUs, minimum required throughput of the subchannels, and energy harvesting of DUEs. We formulate the problem and propose a low‐complexity iterative algorithm on the basis of the convex optimization method and Karush‐Kuhn‐Tucker conditions to obtain the optimal solution of the problem. Simulation results validate the performance of our proposed algorithm for different values of the system parameters. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
28. Energy‐aware relay positioning in flying networks.
- Author
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Rodrigues, Hugo, Coelho, André, Ricardo, Manuel, and Campos, Rui
- Subjects
DRONE aircraft ,NETWORK performance ,COMMUNICATION infrastructure ,QUALITY of service ,ENERGY consumption - Abstract
Summary: The ability to move and hover has made rotary‐wing unmanned aerial vehicles (UAVs) suitable platforms to act as flying communications relays (FCRs), aiming at providing on‐demand, temporary wireless connectivity when there is no network infrastructure available or a need to reinforce the capacity of existing networks. However, since UAVs rely on their on‐board batteries, which can be drained quickly, they typically need to land frequently for recharging or replacing them, limiting their endurance and the flying network availability. The problem is exacerbated when a single FCR UAV is used. The FCR UAV energy is used for two main tasks: Communications and propulsion. The literature has been focused on optimizing both the flying network performance and energy efficiency from the communications point of view, overlooking the energy spent for the UAV propulsion. Yet, the energy spent for communications is typically negligible when compared with the energy spent for the UAV propulsion. In this article, we propose energy‐aware relay positioning (EREP), an algorithm for positioning the FCR taking into account the energy spent for the UAV propulsion. Building upon the conclusion that hovering is not the most energy‐efficient state, EREP defines the trajectory and speed that minimize the energy spent by the FCR UAV on propulsion, without compromising in practice the quality of service offered by the flying network. The EREP algorithm is evaluated using simulations. The obtained results show gains up to 26% in the FCR UAV endurance for negligible throughput and delay degradation. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
29. An adaptive energy-efficient framework for time-constrained optical backbone networks.
- Author
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Sarigiannidis, Panagiotis, Kakali, Vasiliki, and Fragakis, Manos
- Subjects
ENERGY consumption ,INFORMATION & communication technologies ,TECHNOLOGICAL innovations ,DECISION making ,QUALITY of service - Abstract
Power management has emerged as a challenge of paramount importance having strong social and financial impact in the community. The rapid growth of information and communication technologies made backbone networks a serious energy consumer. Concurrently, backbone networking is deemed as one of the most promising areas to apply energy efficient frameworks. One of the most popular energy efficient techniques, in the context of backbone networks, is to intentionally switch off nodes and links that are monitored underutilized. Having in mind that optical technology has thoroughly dominated modern backbone networks, the function of switching off techniques entails fast operation and rigorous decision-making because of the tremendous speed of the underlying optical media. This paper addresses this challenge by introducing a novel, adaptive, and efficient power management scheme for large-scale backbone networks. The proposed framework exploits traffic patterns and dynamics in order to effectively switch off the set of network entities in a periodic fashion. An adaptive decision-making algorithm is presented to maximize the network energy gains with respect to time constraints as well as QoS guarantees. The conducted simulation results reveal considerable improvements when applying the proposed framework compared with other inflexible energy efficient schemes. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
30. An efficient energy-aware predictive clustering approach for vehicular ad hoc networks.
- Author
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Bali, Rasmeet S., Kumar, Neeraj, and Rodrigues, Joel J.P.C.
- Subjects
VEHICULAR ad hoc networks ,INFORMATION & communication technologies ,ENERGY consumption ,QUALITY of service ,COMPUTER algorithms ,TASK performance ,CLUSTER analysis (Statistics) - Abstract
With an emergence of information and communication technologies, there is an increase in the demands of providing safety and comfort to the passengers during their mobility on the road. These demands can be fulfilled by one of the most popular networks of its type-vehicular adhoc networks (VANETs). As vehicles in VANETs are constrained with respect to the available resources such as computation and storage, lot of energy is consumed to perform a number of complex operations, which may lead to the emission of harmful C O
2 emission that effect the global warming system. Moreover, because of high velocity led by constant topological changes, it is a challenging task to maintain quality of service with respect to parameters such as high throughput, and minimum end-to-end delay. Hence, an intelligent approach is required to optimize the various complex operations in this environment, which may led to the minimum emission of C O2 and other gasses. To address these issues, this paper proposes an efficient energy-aware predictive clustering scheme for vehicles. Efficient algorithms are designed for future mobility predictions and average variations of vehicles on the road. The algorithms estimate the clustering duration and total vehicles in the cluster. The performance of the designed algorithms is studied using extensive simulations by varying the number of vehicles and cluster durations in comparison with existing benchmarked scheme in the literature. The results obtained show that the proposed scheme is superior in comparison with the existing scheme of its category. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]- Published
- 2017
- Full Text
- View/download PDF
31. QoS-aware energy-efficient resource allocation in OFDM-based heterogenous cellular networks.
- Author
-
Zhou, Li, Zhu, Chunsheng, Ruby, Rukhsana, Wang, Xiaofei, Ji, Xiaoting, Wang, Shan, and Wei, Jibo
- Subjects
ORTHOGONAL frequency division multiplexing ,ENERGY consumption ,QUALITY of service ,RESOURCE allocation ,COMPUTER scheduling ,FRACTIONAL programming ,WIRELESS sensor networks - Abstract
Recently, in order to satisfy the heavy demands of network capacity brought about by the proliferation of wireless devices, service providers are increasingly deploying heterogeneous cellular networks (HetNets) for boosting the network coverage and capacity. In this paper, we present an iterative energy-efficient scheduling scheme for downlink OFDM-based HetNets with QoS consideration. We formulate the problem as a nonlinear fractional programming problem aiming to maximize the QoS-aware energy efficiency (QEE) in HetNets. In order to solve this problem, we first transform it into a parametric programming problem, which takes QEE as an evolved parameter in the iterative procedure of iterative energy-efficient scheduling scheme. In each iteration, for the given value of QEE, subchannel and power assignment subproblem is a nonlinear nondeterministic polynomial time-hard problem. And hence, we adopt dual decomposition method for obtaining the optimal assignment of subchannels and power of the subproblem for the given value of QEE. Simulation results depict that both outer QEE parameter search and inner subgradient search can converge in a few iterations, and the resultant solutions outperform the equal power allocation scheme [1] and capacity maximization scheme [2] in terms of QEE. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
32. Energy efficiency and traffic offloading in wireless mesh networks with delay bounds.
- Author
-
Garroppo, Rosario G., Gendron, Bernard, Nencioni, Gianfranco, and Tavanti, Luca
- Subjects
WIRELESS mesh networks ,ENERGY consumption ,QUALITY of service ,MATHEMATICAL bounds ,INTEGER programming ,MATHEMATICAL models - Abstract
SUMMARY In this paper, we study a wireless access network based on the Institute of Electrical and Electronics Engineers 802.11 standard and enriched with features such as caching and mesh networking. This system is analysed in terms of energy efficiency and traffic offloading, two objectives that are somewhat in contrast but both relevant to network and service providers as they directly impact the operational cost. In addition, QoS is also accounted for in the form of guaranteed bandwidth and bounded delay. To this aim, we developed a mathematical model of the system and solved it to optimality by means of integer linear programming. We can thus show how much can be saved both in terms of energy and traffic, also considering various tradeoff points among the two contrasting objectives. As a last step, we provide an investigation on the benefits of adding traffic aggregation features to the mathematical model. Copyright © 2014 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
33. A novel energy-efficient cross-application-layer platform with QoS-security support.
- Author
-
Adibi, Sasan
- Subjects
WIRELESS sensor networks ,ENERGY consumption ,QUALITY of service ,SECURITY systems ,WIRELESS communications ,COMPUTER algorithms - Abstract
SUMMARY Security provisioning is an essential part in the design of any communication systems, which becomes more critical for wireless systems. Devising a quality of service (QoS) mechanism to coexist security algorithms is a daunting, yet inevitable task. The aim of this novel research article is to present a novel energy efficient, cross-layer-based application-layer wireless system with simultaneous security and QoS supports, which revolves around the practical and low-cost implementation of Suite-B cryptographic algorithms (promulgated by the National Security Agency) and detailed analyses of the associated complexities. The focus of this article is on the novel cross-layer mechanism and its effectiveness to handle QoS-enabled treatment while offering security enhancements. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
34. Cluster‐based emergency message dissemination strategy for VANET using V2V communication.
- Author
-
Benkerdagh, Saliha and Duvallet, Claude
- Subjects
CLUSTER analysis (Statistics) ,VEHICULAR ad hoc networks ,BANDWIDTHS ,ENERGY consumption ,QUALITY of service ,ELECTRIC network topology - Abstract
Summary: Data dissemination in vehicular ad hoc network (VANET) is emerging as a critical area of research. One of the challenges posed by this domain is the reliability of connection, which depends on many parameters, such as the bandwidth consumption, transmission delay, and data quality of service (QoS). Dissemination of emergency messages is very critical since the network topology is changing frequently and rapidly, which leads to data loss. So, it is necessary to develop new protocols and enhance dissemination schemes in VANET to avoid more emergencies and hazards cases. In this regard, we have proposed a new strategy, which consists of data handling before dissemination process as the first step of our scheme. In this phase, the original message is optimized in order to reduce the number of exchanged packets. The second part of this proposition consists of constructing fast and stable clusters to improve the message delivery time and to procure efficient bandwidth consumption. This approach is based on a Fitness function, which takes into account different parameters such as the transmission period, the connectivity degree, the relative velocity, and the link lifetime validity. Since exchanging data in VANET is an important process, routing phase is proposed to perform data exchange among clusters. It is based on a rapid and real‐time heuristic (real‐time adaptive A* [RTAA*]). To evaluate the reliability of the proposed approach, an urban scenario is used with different simulation parameters. The simulation results show that our proposed approach presents a better stability and efficiency performance compared with the discussed approaches. The proposed approach improves the performance of cluster duration (5% − 25%), delivery rate (2% − 8%), and the overhead (5% − 35%) on average compared with the discussed approaches. Dissemination of emergency messages is very critical since the network topology is changing frequently and rapidly, which leads to data loss. In this article, we propose a new approach for data dissemination in hopes of meeting multiple objectives such as data freshness, quality of service (QoS), and overhead performance. The proposed approach of clustering is based on a fitness function, which is based on four different parameters. Simulations show that our approach presents a better stability and efficiency performance compared with other approaches. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
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