Energy efficient Optimized Link State Routing in Mobile Ad-hoc Networks using Manhattan Grid Mobility and Reference Point Group Mobility model
Author(s):
Pradeep Kumar, Dr.L.S.Maurya, Hiresh Kumar gupta
Keywords:
Mobile Ad-hoc Networks, Mobility Models, OSLR, MGM, RPGM, NS2
Abstract
A Mobile Ad-hoc Network (MANET) is a self-configuring infrastructure less network of mobile devices connected by wireless links. In this paper using OSLR protocol were simulated using Manhattan Grid Mobility Model and Reference Point Group Mobility model. The reactive OSLR protocol’s internal mechanism leads to considerable performance difference. The performance differentials are analysed using NS-2 which is the main network simulator, NAM (Network Animator), AWK (post processing script) and were compared in terms of energy consumed different environments specified by varying network load , mobility rate and number of nodes. Our results presented in this research work demonstrate the performance analysis of OSLR routing protocols. The nodes are battery operated and therefore energy is a scarce resource in MANET. Many routing algorithms are proposed in literature and evaluated under different scenarios. The Performance of MANETs not only depends upon the routing mechanism but also on mobility model chosen. Mobility model is used to represent the mobility of individual node and it plays a crucial role when evaluating the performance of routing protocols. The energy being limited is crucial for MANET operations. The aim of this research work is to study the impact of mobility model on the energy consumption in MANET routing protocols. The energy consumption under Manhattan and Reference Point Grid mobility Model is evaluated through simulation using NS2. The well-known OLSR protocol is taken as the candidate protocol for performing experiments under different scenarios. It has been observed that, under Manhattan Grid mobility model, OSLR performs better than RPGM model.
Article Details
Unique Paper ID: 153510

Publication Volume & Issue: Volume 8, Issue 7

Page(s): 361 - 365
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