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EVALUATION OF THE PERFORMANCE OF RE-AODV ROUTING PROTOCOL WITH DIFFERENT MOBILITY MODELS IN WIRELESS SENSOR NETWORKS
Author(s) -
Saloua Outazgui,
Yadolah Fakhri
Publication year - 2021
Publication title -
xi'nan jiaotong daxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 21
ISSN - 0258-2724
DOI - 10.35741/issn.0258-2724.56.5.41
Subject(s) - computer science , computer network , routing protocol , mobility model , dynamic source routing , ad hoc on demand distance vector routing , wireless routing protocol , zone routing protocol , distributed computing , optimized link state routing protocol , link state routing protocol , routing (electronic design automation)
This paper aims to present a detailed study of different mobility models applicable for Wireless Sensor Networks (WSN). Wireless Sensor Networks (WSN) have evolved dramatically in mobile networks, providing the key advantage of offering access to information without considering a user's spatial and topological characteristics. Due to the exponential advancement of the Internet and the development of small handheld devices as a source of connectivity and data sharing, the wireless network has almost exploded over the past few years. As a routing protocol for WSN in different studies, the Ad-hoc On-demand Distance-vector routing protocol (AODV) has shown better performance than different routing protocols. It offers quick adaptation to dynamic link conditions, low processing, low memory overheads, and low network utilization. To develop an optimized routing protocol, in our previous work, we had proposed an enhancement of the AODV routing protocol to increase the performance of the classic AODV protocol by optimizing the energy consumption and automatically maximizing the network lifetime. In this paper, we present a detailed study of mobility models applicable for WSN. We describe various mobility models representing mobile nodes whose movements are independent (individual mobility models) and dependent (group mobility models). Furthermore, we will focus on studying the behavior of our optimized version of AODV that we named RE-AODV with different existing mobility models so that we can, in the end, select the best mobility model. In terms of network efficiency, simulation results in this Work demonstrate that the type of mobility model used makes the difference and influences the behavior of nodes.

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