Research Article
Performance Evaluation of VANET Using Realistic Vehicular Mobility
@INPROCEEDINGS{10.1007/978-3-642-27299-8_50, author={Nidhi and D. Lobiyal}, title={Performance Evaluation of VANET Using Realistic Vehicular Mobility}, proceedings={Advances in Computer Science and Information Technology. Networks and Communications. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part I}, proceedings_a={CCSIT PART I}, year={2012}, month={11}, keywords={Intelligent Transportation System Vehicular Ad-hoc Networks Geographical Information System Mobility Model Generator for Vehicular Networks Simulation of Urban Mobility Network Simulator-2.34}, doi={10.1007/978-3-642-27299-8_50} }- Nidhi
D. Lobiyal
Year: 2012
Performance Evaluation of VANET Using Realistic Vehicular Mobility
CCSIT PART I
Springer
DOI: 10.1007/978-3-642-27299-8_50
Abstract
Vehicular Ad-hoc Networks (VANETs) is attracting considerable attention from the research community and the automotive industry to improve the services of Intelligent Transportation System (ITS). As today’s transportation system faces serious challenges in terms of road safety, efficiency, and environmental friendliness, the idea of so called “ITS” has emerged. Due to the expensive cost of deployment and complexity of implementing such a system in real world, research in VANET relies on simulation. This paper attempts to evaluate the performance of VANET in a realistic environment. The paper contributes by generating a real world road Map of JNU using existing Google Earth and GIS tools. Traffic data from a limited region of road Map is collected to capture the realistic mobility. In this work, the entire region has been divided into various smaller routes. Vehicular Traffic Flow on these routes has been created using MOVE. The traffic flow generator model of MOVE generates traces of the traffic flow. These traces of different traffic scenario are subsequently used in NS-2 which facilitated the simulation of traffic flow of region under study. The realistic mobility model used here considers the driver’s route choice at the run time. Finally, the performance of the VANET is evaluated in terms of average delivery ratio, packet loss, and router drop as statistical measures. The maximum average delivery ratio for varying number of vehicles is observed to be very high as compare to the packet loss. Overall, this experiment has provided insight into the performance of real life vehicular traffic communication.
