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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Tuesday 23 April 2024

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Performance Evaluation of Vehicular Data Transfer Protocol Using Metaheuristic Techniques


Volume 12, Issue 1, November 2014, Pages 43–57

 Performance Evaluation of Vehicular Data Transfer Protocol Using Metaheuristic Techniques

Manish Suroliya1 and V.S. Dhaka2

1 School of Engineering & Technology, Jaipur National University, Jaipur, Rajasthan, India
2 School of Engineering & Technology, Jaipur National University, Jaipur, Rajasthan, India

Original language: English

Copyright © 2014 ISSR Journals. 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 networks (VANETs) are the emerging field, which deals with a set of communicating vehicles that are able to deploy Intelligent Transportation Systems (ITS). In this kind of networks, it is difficult to make an ideal configuration of the communication protocols. In this work, we consider a problem which lies in configuring the File Transfer Protocol configuration with the aim of optimizing the amount of data transferred, the transmission time and the number of lost packets in realistic VANET scenarios. In order to do this we have used metaheuristic algorithms, which lie in searching efficient parameters setting of VDTP protocol. The VDTP protocol has been tested by employing five different parameter settings: PSO, DE, GA, ES, and SA. For our tests, two different environment instances of VANETs for Urban and Highway scenarios have been taken. The experiments using ns-2 prove that PSO outperforms all the compared algorithms.

Author Keywords: VANETs, VDTP, Metaheuristics, optimized configurations, performance analysis.


How to Cite this Article


Manish Suroliya and V.S. Dhaka, “Performance Evaluation of Vehicular Data Transfer Protocol Using Metaheuristic Techniques,” International Journal of Innovation and Scientific Research, vol. 12, no. 1, pp. 43–57, November 2014.