Open AccessData Dissemination Scheme for VANET using Genetic algorithm and Particle Swarm Optimization
Author(s) -
Tahera Mahmood
Publication year - 2021
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a5970.0510121
Subject(s) - vehicular ad hoc network , retransmission , computer science , broadcasting (networking) , flooding (psychology) , computer network , broadcast radiation , particle swarm optimization , genetic algorithm , wireless ad hoc network , network packet , throughput , dissemination , fitness function , intelligent transportation system , wireless , algorithm , distributed computing , machine learning , engineering , telecommunications , psychology , civil engineering , psychotherapist
A vehicular ad hoc network (VANET) consist of moving vehicles connected via wireless technology e.g., Wireless Access in Vehicular Environment (WAVE) for the aim of exchanging information. Therefore data dissemination in VANET has become issue of debate for researcher. In VANET broadcasting play an important role. The aim of VANET is to ensure passenger safety through emergency message. With multiple objectives broadcast storm is assumed to be an NP-Hard problem. In this paper we propose DDV algorithm to solve broadcast storm problem. Fitness function has used to optimize the objective of proposed algorithm. The proposed algorithm producing better optimization results. We are considering a highway scenario in city with dynamic rotation, to evaluate the performance of the DDV algorithm we compare the result with Smart flooding techniques, MOGA (Multi Objective Genetic algorithm) [1] and EEADP. Our result show the better performance in terms of reduce the number of retransmission, increase the packet delivery ratio and provide better throughput.