Emergency message reduction scheme using markov prediction model in VANET environment

Abstract

Today’s vehicles technologies are getting better as well as the price of the vehicle is not too expensive so that almost every household has an own car. However, road space is limited so there is high opportunity to see the accidents on the high dense road. Current VANET technology has been able to inform rear vehicles do not go there so that the traffic congestion can be reduced. In this scenario, there are very large amount of emergency message will be generated. It will increase the burden of road side unit. In this paper, we propose a Markov-based model to predict behavior of vehicles so that we can identify which cars really need to receive this message. Simulation results show that this method can reduces the unnecessary message transmission indeed.