Emergency Message Dissemination in Vehicular Ad-hoc Networks Using Vehicle Movement Prediction

In today's world everything is very fast and delay intolerant. In VANET emergency messages need to be communicated on priority and should have minimal delay. In the existing system infrastructure is not used in optimum for emergency message communication also vehicle movement is not much explored, to overcome this problem in the proposed work the dissemination of emergency messages is taken on priority using using vehicle to infrastructure communication along with vehicle to vehicle communication. The delay in the emergency message communication should be minimized along with the availability of the network either through the infrastructure like Road Side Units (RSUs) or with the help of neighboring vehicles. While communicating the messages through neighboring vehicles, their role needs to be considered for their wish to be a part of the communication. For emergency messages communication prediction of the vehicle movement should be done so that the vehicles approaching in near future towards the place of the accident should get the message about the accident and they should be able to change the route to avoid the congestion at the accident spot. In this proposed work fuzzy logic is used to predict the vehicle movement as there are many factors which cannot be considered in only two states like true and false.