Performance Evaluation and Statistical Analysis of MANET routing Protocols for RPGM and MG

Prajakta M,Dr Nupur

doi:10.14569/specialissue.2013.030104

Abstract

Mobile Ad Hoc Network is a collection of mobile nodes forming temporary network. In MANET routing protocols are classified as Proactive, Reactive and Hybrid. The work presented here evaluates performance of three Reactive routing protocols such as AODV, DSR and TORA under six performance metrics such as packet delivery ratio, routing overhead, packet loss, normalized routing load, throughput and end to end delay The nodes follow two realistic mobility models such as Reference Point Group Mobility model (RPGM) and Manhattan Grid (MG) model. This work also presents the statistical analysis of AODV, DSR and TORA in Manhattan Grid (MG) model and Reference Point Group Mobility (RPGM) model in low load with low speed, average load with average speed, high load with high speed and very high load with high speed. Contribution in this work is beneficial in deciding which protocol to choose for better QoS.

Highlights

In MANET as the nodes are moving, the topology of the network changes dynamically
Mobility models are categorized as Entity Mobility e.g. Manhattan Grid and Group Mobility e.g. Reference Point Group Mobility Model (RPGM) and define the pattern in which the nodes are moving
Bonnmotion which is a mobility generator tool is used to generate the scenarios for RPGM and Manhattan Grid (MG) [9]

Summary

INTRODUCTION

In MANET as the nodes are moving, the topology of the network changes dynamically. In MANET the routing algorithms are classified as On Demand i.e. Reactive, Table Driven i.e. Proactive and combination of both as Hybrid. AODV, DSR and TORA are Reactive, DSDV and OLSR are Proactive and ZRP is Hybrid routing algorithms. This work evaluates performance of only Reactive routing algorithms for nodes following Reference Point Group Mobility Model (RPGM) and Manhattan Grid Model (MG). Mobility models are categorized as Entity Mobility e.g. Manhattan Grid and Group Mobility e.g. RPGM and define the pattern in which the nodes are moving. In Manhattan Grid the area is divides into rows and columns. The logical center of the group is the group leader. Group leader determines the group member’s speed and direction [8]

SIMULATION MODEL

PERFORMANCE PARAMETERS

SIMULATION RESULTS AND DICUSSION

PERFORMANCE ANALYSIS

STATISTICAL ANALYSIS

VIII. CONCLUSION