Table of Contents
International Journal of Vehicular Technology
Volume 2014 (2014), Article ID 903895, 9 pages
http://dx.doi.org/10.1155/2014/903895
Research Article

Distributed Algorithm for Constructing Efficient Tree Topology for Message Dissemination in Vehicular Networks

School of Computing, SASTRA University, Thanjavur, Tamil Nadu 613401, India

Received 24 August 2013; Revised 5 January 2014; Accepted 9 January 2014; Published 20 February 2014

Academic Editor: C. S. Shankar Ram

Copyright © 2014 S. Kamakshi and Sairam Natarajan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Vehicular ad hoc network is an ad hoc network constituted among moving vehicles that have wireless dedicated short range communication (DSRC) devices in order to provide ubiquitous connectivity even if the road-side infrastructure is unavailable. Message dissemination in vehicular ad hoc networks is necessary for exchanging information about prevailing traffic information, so that the vehicles can take alternate routes to avoid traffic jam. A major challenge in broadcast protocols is that they result in flooding of messages that reduce the speed of dissemination due to collision. Dissemination of messages using tree topology reduces the number of rebroadcasts. Dynamicity Aware Graph Relabeling System model provides a framework to construct spanning tree in mobile wireless network. In this paper, we propose a new distributed algorithm for constructing an arbitrary spanning tree based on Dynamicity Aware Graph Relabeling System model, which develops a maximum leaf spanning tree in order to reduce the number of rebroadcasts and dissemination time. Our simulation results prove that the number of vehicles rebroadcasting the message is curtailed to 15% and the dissemination time required to achieve 100% reachability is curtailed by 10% under average vehicle density.