Abstract

Mobile Ad hoc Networks (MANETs) provides changing network topology due to the mobility of nodes. The complexity of the network increases because of dynamic topology of nodes. In a MANET, nodes communicate with each other without the help of any infrastructure. Therefore, achieving QoS in MANET becomes a little difficult. The movement of mobile nodes is represented through mobility models. These models have great impact on QoS in MANET. We have proposed a mobility model which is a 3D implementation of existing Random Direction (RD) mobility model. We have done a simulation on AODV with QoS metrics throughput, delay and PDR, using NS-3 and performed analysis of the proposed mobility models with other 3D mobility models, namely Random Way Point (RWP) and Gauss Markov (GM). It is concluded that our proposed model gives better throughput, delay and PDR for AODV routing protocol in comparing to RWP and GM mobility models. This paper is for students and researchers who are involved in wireless technology and MANET. It will help them to understand how a mobility model impacts the entire network and how its enhancement improves the QoS in MANET.

Highlights

  • In Mobile Ad hoc Networks (MANETs), nodes are mobile, self-configuring and self-deployable

  • We have considered an Ad Hoc On Demand Distance Vector (AODV) routing protocol to check the impact of all the 3D mobility models, namely, Gauss Markov, Random Way Point and Random Direction-3D using various group of nodes like 20, 40, 60, 80, 100 and 120 in NS3

  • Random Direction and Random Way point mobility models are memoryless mobility models we have considered the value of tuning parameter as zero in Gauss Markov to keep the similarity with the other mobility models

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Summary

INTRODUCTION

In Mobile Ad hoc Networks (MANETs), nodes are mobile, self-configuring and self-deployable Since it is a wireless network communication between the nodes takes place through radio waves without the support of any central administration [13]. We have used standard routing protocol AODV for performance analysis with QoS parameters throughput, delay and PDR. It is analyzed that our proposed model gives better throughput, delay and PDR for AODV routing protocol. This paper is for students, researchers focusing on wireless networks and MANET It will provide them a basic idea about the impact of mobility model in providing QoS support in MANET. It will make them understand how a mobility model is important for simulation in MANET.

RELATED WORK
Gauss Markov Mobility Model
Random Way Point Mobility Model
Random Direction-2D Mobility Model
RANDOM DIRECTION-3D MOBILITY MODEL
Experimental Parameters
AD HOC ON DEMAND DISTANCE VECTOR ROUTING PROTOCOL
Experimental Results
CONCLUSION AND FUTURE WORK

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