Performance Analysis of the Gossip-Based Ad Hoc Routing Using Received Signal Strength of AODV

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Author(s) Mohammed Fakrudeen | Sufian Yousef | Shasikala Tapaswi | Sanjeev Deshmukh | Michael Cole
Pages 158-168
Volume 6
Issue 5
Date May, 2016


In Mobile Ad hoc Networks (MANETs), congestion control is a critical issue in controlling the degradation of network performance. During the route discovery process, the MANET routing protocol floods control packets to discover routes which may cause congestion. Currently, routing protocols take the shortest path with the minimum number of hops to reach the destination without considering the effects of Received Signal Strength (RSS). During the route discovery process, each node of MANET should not blindly broadcast without considering RSS to avoid link breakage. This causes excess energy consumption in rediscovering new routes and a greater likelihood of network partition. This paper suggests a modification of the rebroadcasting procedure for Received Requests (RREQ) in AODV using RSS on Gossip algorithm (AODV-RG). The performance of the protocol is measured based on different scenarios through metrics such as packet delivery ratio, throughput and, end-to-end delay using Network Simulator (NS 3.24.1). Experimental results show that thee AODV-RG protocol outperforms that of AODV with gossip probability p=0.66 by minimizing RREQ rebroadcasting messages during route discovery process.The Ad hoc mobile networks are suffering from the scarce power in the nodes. To decrease the amount of power consumption the AODV has been developed by many researchers by introducing the GOSSIP probability to alter the flow of RREQ. The advantage of this scheme is to decrease the overheads and the busy time of the node by detecting the RSS of the receiving node. When RSS is more than the threshold, then the RREQ is forwarded. If RSS is less than the threshold value, then RREQ is ignored. We need to test if the GOSSIP use has affected positively the quality of performance parameters such as utilization, packet delay ratio and throughput of the RREQ rebroadcasting and the end-to-end delay.

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