On the Selection of MAC Optimised Routing Protocol for VANET

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Author(s)

Kanu Priya 1,* Jyoteesh Malhotra 2

1. Department of CSE, Guru Nanak Dev University Regional Campus, Jalandhar, India

2. Head of CSE & ECE Department, Guru Nanak Dev University Regional Campus, Jalandhar, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2017.02.04

Received: 3 Feb. 2016 / Revised: 7 Jun. 2016 / Accepted: 15 Sep. 2016 / Published: 8 Feb. 2017

Index Terms

DSDV (Destination Sequenced Distance Vector Routing), ADV (Advanced Distance Vector Routing), GOD (General Operation Directory), ITS (Intelligent Transport System), NCTUns

Abstract

In today's era of modernization, the concept of smart vehicles, smart cities and automated vehicles is trending day by day. VANET (Vehicular Adhoc Network) has also been emerging as a potential applicant to enable these smart applications. Though VANET is very much similar to MANET (Mobile Adhoc Network) but VANET has more severe challenges as compared to MANET due to hostile channel conditions and high degree of mobility. So lot of work related to MAC and Network Layer need attention from the network designers. In this paper MAC Layer has been optimised in terms of Queue Size by using QoS Parameters namely Packet Collision Rate, Packet Drop Rate, Throughput Rate and Broadcast Rate. In doing so, simulative investigations have been done to find out optimum queue size. For this purpose various routing protocols namely DSDV, AODV, ADV and GOD have been considered and optimum queue length for each of these have been obtained. Further the most efficient routing protocol has also been identified. Moreover this paper also compares the performance of most efficient Routing Protocols selected in terms of QoS parameters for different MAC Interfaces.

Cite This Paper

Kanu Priya, Jyoteesh Malhotra, "On the Selection of MAC Optimised Routing Protocol for VANET", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.2, pp.30-37, 2017. DOI:10.5815/ijitcs.2017.02.04

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