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DSDV Addendum through Genetic Algorithm in VANET

Published on September 2016 by S. Girijalakshmi, K. Sivakumar, C. Chandrasekar
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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
  1. T. Priyadharshini,Ar. Arunachalam, "Efficient Genetic Algorithm for Optimal Routing In Ad Hoc Network" Journal of Advanced Research Computer science & Engineering, VOL. 3, NO. 2, February 2013.
  2. Kumar Nikhil & Swati Agarwal,"Applicationj of Genetic Algorithm in designing a security model for mobile adhoc network", International Journal of Soft Computing and Engineering (IJSCE), Volume-2, Issue-3, July 2012.
  3. Amit Joshi, Priyanka Sirola, Kamlesh C. Purohit, "Comparative Study of Enhanced DSDV Routing Protocols in VANET" International Journal of Computer Applications (0975 – 8887) Volume 96– No. 18, June 2014.
  4. J. J. Garcia Luna-Aceves, A Unified approach to loop-free routing using distance vectors or link states. In ACM SIGCOMM, pages 212-223,1989.
  5. Sukhveer Kaur, Vinay Bhardwaj, " ENHANCING AODV FOR QOS ROUTING IN MANET'S USING HYBRID ALGORITHM OF GA AND PSO" International Journal of Computer Engineering and Applications, Volume VII, Issue II, August 14.
  6. Shuruq Khalid abed-alrydi "Mitigate Congestion of wireless Sensor Network Using GeneticAlgorithm" Journal of BabyIon University in Science,Engineering and Technology, Vol. 23, Issue 6, June 2015.
  7. Bijan Paul, Md. Ibrahim, Md. Abu Naser Bikas, "VANET Routing Protocols: Pros and Cons" International Journal of Computer Applications, Volume 20– No. 3, April 2011.
  8. Jagadeesh Kakarla, S Siva Sathya, B Govinda Laxmi, Ramesh Babu B, "A Survey on Routing Protocols and its Issues in VANET" International Journal of Computer Applications, Volume 28– No. 4, August 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithm Vanet