Evaluation of Varrying Mobility Models & Network Loads on DSDV Protocol of MANETs

TL;DR

This study evaluates the DSDV routing protocol's performance in MANETs under different mobility models and network loads, revealing RPGM mobility model offers optimized results.

Contribution

It provides an experimental comparison of DSDV performance across four mobility models and varying network conditions using NS2 simulations.

Findings

RPGM mobility model yields the best performance with DSDV.

Network load and speed significantly affect DSDV metrics.

Experimental results guide optimal mobility model selection for MANETs.

Abstract

A mobile ad-hoc network (MANET) is collection of intercommunicating mobile hosts forming a spontaneous network without using established network infrastructure. Unlike the cellular or infrastructure networks who have a wired backbone connecting the base-station, the MANETs have neither fixed routers nor fixed locations. Their performance largely depend upon the routing mechanism & nature of mobility. Earlier research hints that the Destination Sequenced Distance Vector (DSDV) routing protocol is one of the most efficient and popular protocols, as far as general parameters have been concerned.[1,6] We have experimentally evaluated, the performance metrics for network load, packet delivery fraction and end-to-end delay with DSDV Protocol using NS2 Simulator.This paper presents, the performance of DSDV protocol for four different mobility models namely: Random Waypoint, Reference Point Group Mobility, Gauss Markov & Manhattan Mobility Model having varying network load & speed. The experimental results suggest that DSDV protocol with RPGM mobility model has optimized results for varying network load and speed.