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Finding Optimal Configuration of DSDV using Particle Swarm Optimization

by Sanjiv Sharma, A. K. Giri, Niraj Singhal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 104 - Number 4
Year of Publication: 2014
Authors: Sanjiv Sharma, A. K. Giri, Niraj Singhal
10.5120/18191-9100

Sanjiv Sharma, A. K. Giri, Niraj Singhal . Finding Optimal Configuration of DSDV using Particle Swarm Optimization. International Journal of Computer Applications. 104, 4 ( October 2014), 27-31. DOI=10.5120/18191-9100

@article{ 10.5120/18191-9100,
author = { Sanjiv Sharma, A. K. Giri, Niraj Singhal },
title = { Finding Optimal Configuration of DSDV using Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 104 },
number = { 4 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume104/number4/18191-9100/ },
doi = { 10.5120/18191-9100 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:35:17.642150+05:30
%A Sanjiv Sharma
%A A. K. Giri
%A Niraj Singhal
%T Finding Optimal Configuration of DSDV using Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 104
%N 4
%P 27-31
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Vehicular Ad-hoc network (VANET) is prominent research area in Mobile ad-hoc network (MANET). VANET are very dynamic in nature as it has no predefined structure for communication. The performance of VANET dependents on parameter configuration of the protocol used in. The optimal parameter configuration in protocol can improve the QoS of VANET. Further, finding the optimal values of the parameters configuration is not easy because there is multiple combination of parameters configuration. Therefore, we have used particle swarm optimization technique, a metaheuristic, to find the optimal parameter configuration in real scenario. The result of experiment shows that there is 11. 96% drop in average End to End Delay, 5. 42% drop in Normalized Routing load and 5. 74% gain in Packet Delivery based on the optimal configuration found against the default parameter configuration in DSDV.

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Index Terms

Computer Science
Information Sciences

Keywords

PSO NS-2 DSDV.

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