Performance Enhancement of Channel Aware Based Message Verification Scheme Using Trust and Reputation Model in VANET.

Abstract

One of the main goals of vehicular ad hoc networks (VANETs) is to increase road safety and traffic efficiency, by using information that is shared among vehicles in a wide range of Intelligent Transportation Systems (ITS) applications such as crash warning, sudden-brake warning, and lane-change warning. Safety messages are transmitted from each vehicle at a fixed rate such as ten messages per second. In high dense VANET scenario, vehicles have similar motions, that nearby vehicle’s BSM gets verification time redundantly due to consecutive broadcasting and then other vehicle’s BSM in communication range but distant couldn’t get enough verification time. Each safety message must be verified by a time-consuming cryptographic operation before its information can be reliably utilized. This leads to a problem since the rate that messages are received can be much higher than the verification rate. This problem could be serious with closely occupied roads and when ITS applications require a high transmission rate of safety messages. To solve the raised problem, we proposed a novel trust and reputation model to enhance the performance of the Channel Aware-based message verification scheme in VANETs. For we proposed work the verification time minimizes, that is to skip one BSM without verification process (i.e. one BSM verification processes to take an averagely of 5ms) for the valid vehicles with the help of RSU and increases awareness of the vehicle according to the WAVE standard the result our proposed work trust and reputation model in average 82.28% and when we compare to the existing work of MLPQ-Ch in average 70% within the same distance of 100m. We used some simulation software such as NS3 and SUMO for the produced results.