Performance Evaluation of AODV and DSDV Routing Protocols through Clustering in MANETS using Genetic Algorithm

Authors

  • DR. R. SITTALATCHOUMY

Abstract

MANETs are self configured without the infrastructure and allow sensor nodes to communicate among themselves without any base station in a wireless environment. The increase in terminals causes complexity of MANETs in a number of ways. All the nodes share data and the basic task of MANET is to provide information about cost of routing and shortest path which increases the network performance. To accomplish these tasks, the algorithms must be computationally efficient. In this paper, GA is used to improve the effectiveness and quality of service of DSDV with a clustering process. In MANETs, GA is used to address problems like localization of nodes, clustering, optimal deployment and data-aggregation. Thus the performance of DSDV and AODV Protocols are analyzed for cluster based routing in MANETs using Genetic Algorithm. Thus both the routing protocols are investigated in terms of Network life time, Network performance, PDR, Throughput, Time consumption, Energy consumption and End to End Delay. The results show that the performance of data communication with GA- DSDV is better than GA-AODV since AODV is affected easily by black hole attack.

Published

2020-10-16

Issue

Section

Articles