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Optimize the QoS Metrics in Smart Mobile Communication using Multi-Objective Function

TitreOptimize the QoS Metrics in Smart Mobile Communication using Multi-Objective Function
Publication TypeConference Paper
Year of Publication2020
AuthorsBerradi, H, Habbani, A, Souidi, M, Elmahdi, F, Mouchfiq, N
Conference Name3rd International Conference on Advanced Communication Technologies and Networking, CommNet 2020
Mots-clésDecision making, Destination nodes, Dynamic environments, Internet protocols, Manhattan networks, Mobile ad hoc networks, Mobile communications, Mobile telecommunication systems, Multi-objective functions, Network efficiency, Network security, Network simulators, Proactive protocol
Abstract

The impact of mobility is a major factor that can have an influence on the stability of network behaviour in mobile ad-hoc networks (MANET). The selection of paths having stability, security and an extended network lifetime is one of the crucial issues in the design of routing protocols. In this paper, the authors propose an enhanced algorithm relying on a multipurpose function according to three metrics, mobility, energy and reputation levels to improve the routing decision-making process. The main goal is to identify better performing Multipoint relays (MPRs) which are used to relay messages between nodes. They are also necessary for routing and selecting the appropriate route from any source to any destination node. The identification of the most efficient MPRs can upgrade the network performing even in the most challenging conditions of the dynamic environment. The authors implement the advanced algorithm in the OLSR and get the performance result by using a network simulator (NS3) running under the mobility model of the Manhattan network. The achieved results show important performance compared to the default version. In addition, the proposed model can be employed to improve network efficiency for proactive protocols in ad-hoc networks. © 2020 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85093653757&doi=10.1109%2fCommNet49926.2020.9199632&partnerID=40&md5=83e6a0c98ac8386acb6e6aad76a531ec
DOI10.1109/CommNet49926.2020.9199632
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