An improved genetic based Routing Protocol for VANETs

Author

Gupta, Deepika ; Kumar, Ravindra

Author_Institution

Thapar Univ., Patiala, India

fYear

2014

fDate

25-26 Sept. 2014

Firstpage

347

Lastpage

353

Abstract

Vehicular Ad-hoc Network (VANET) is a most critical class of mobile ad-hoc network (MANET) that enables roadside vehicles to intelligently interact with one another and with outside infrastructure anytime anywhere in the global network. The paper focuses on routing in VANETs. In this paper, genetic algorithm is applied to improve the routing and genetic algorithm finds the highly optimal (shortest) path from the entire feasible path. A routing tree is formed from fitness function that provides highly optimized and fault tolerant routing. We also make the routing tree from spanning tree for easy insertion deletion of the node and observe throughput, PDA and packet loss for AODV and MAODV protocol.

Keywords

fault tolerance; fault trees; genetic algorithms; road vehicles; routing protocols; vehicular ad hoc networks; AODV protocol; MANET; MAODV protocol; PDA; VANET; ad hoc on-demand distance vector; fault tolerant routing; feasible path; fitness function; genetic algorithm improvement; global network; highly optimal path; insertion deletion; mobile ad-hoc network; outside infrastructure; packet loss; roadside vehicles; routing protocol; routing tree; spanning tree; vehicular ad-hoc network; Genetic algorithms; Routing; Routing protocols; Sociology; Statistics; Vehicles; AODV; Delay; Genetic Algorithm (GA); MAODV; Routing Tree; Spanning Tree; Vehicular Adhoc Networks (VANETs);

fLanguage

English

Publisher

ieee

Conference_Titel

Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -

Conference_Location

Noida

Print_ISBN

978-1-4799-4237-4

Type

conf

DOI

10.1109/CONFLUENCE.2014.6949271

Filename

6949271