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Reseach Article

DSDV Addendum through Genetic Algorithm in VANET

Published on September 2016 by S. Girijalakshmi, K. Sivakumar, C. Chandrasekar
National Conference on lnnovation in Computing and Communication Technology
Foundation of Computer Science USA
NCICCT2016 - Number 1
September 2016
Authors: S. Girijalakshmi, K. Sivakumar, C. Chandrasekar
ef9e718f-355c-43ef-bb76-0099652476d0

S. Girijalakshmi, K. Sivakumar, C. Chandrasekar . DSDV Addendum through Genetic Algorithm in VANET. National Conference on lnnovation in Computing and Communication Technology. NCICCT2016, 1 (September 2016), 19-23.

@article{
author = { S. Girijalakshmi, K. Sivakumar, C. Chandrasekar },
title = { DSDV Addendum through Genetic Algorithm in VANET },
journal = { National Conference on lnnovation in Computing and Communication Technology },
issue_date = { September 2016 },
volume = { NCICCT2016 },
number = { 1 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 19-23 },
numpages = 5,
url = { /proceedings/ncicct2016/number1/25865-2036/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on lnnovation in Computing and Communication Technology
%A S. Girijalakshmi
%A K. Sivakumar
%A C. Chandrasekar
%T DSDV Addendum through Genetic Algorithm in VANET
%J National Conference on lnnovation in Computing and Communication Technology
%@ 0975-8887
%V NCICCT2016
%N 1
%P 19-23
%D 2016
%I International Journal of Computer Applications
Abstract

Vehicular Ad-Hoc Networks (VANET) is a variety of Mobile Ad Hoc Network (MANET), in which vehicles work as nodes and each vehicle is prepared with transmission capabilities which are interrelated to form a network. Routing protocols are the backbone of VANET. In this paper, to apply the genetic algorithm to improve the performance of DSDV. The objective of this paper is to find optimal path from source node to destination node and to increase the throughput of DSDV. Hence to proposed work has shown the better results by considering parameters performance like throughput, packet delivery ratio, End to End Delay. Simulation outcome show that the planned algorithm is more efficient.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithm Vanet