Comparative Analysis of Different Data Dissemination Techniques based Genetic Algorithm and Fuzzy in Vehicular Adhoc Networks (VANETs)

Abstract

In today‟s world Vehicular adhoc network done promising job towards public safety and provide important element to the transport facility. A Vehicular adhoc network is a new technology which has garnered enormous attention in recent years.VANETs is a special class of MANETs which uses vehicles as a mobile node. It uses the Intelligent transportation system in which vehicles can communicate with each other to avoid large number of problems such as real-time traffic problem, parking availability problem etc. The communication among the vehicles is at greater risk because the messages are broadcasted by wireless channel and vehicles move with high mobility. VANET does not have any fixed infrastructure Data dissemination is the tough job among these vehicles. While driving, a large amount of data and information are accessible to everyone. Many attractive applications over vehicular ad hoc network (VANETs) need data to be transmitted to the remote destinations through multiple paths, but some unique characteristics of VANETs incur unstable data delivery performances. Data dissemination in VANETs is more challenging because vehicles are highly mobile. Efficient data dissemination to a desired number of receivers in a vehicular ad hoc network (VANET) is a new issue and a challenging one considering the dynamic nature of VANETs. To overcome such situation and achieve efficient data dissemination among these vehicles different techniques are used. This paper represents a simple and robust dissemination technique that efficiently deals with data dissemination where the density of roadside base stations and vehicles distribution are both high. This technique divides the users in two categories premium user as well as free users. This paper illustrates three schemes such as fuzzy inference system, genetic algorithm scheme and hybrid of fuzzy inference and genetic algorithm. Two types of users have been taken in this paper.