A Novel Metaheuristic Approach for Efficient Data Dissemination based on Ideal Decision in VANET

In vehicular ad hoc network proper data dissemination is the still a challenge due to many reasons such as frequent network fragmentation, variable speeds of vehicle, different road scenarios and many more. The traditional secure data transmission supports multicast broadcasting to the autonomous destination vehicles. Centralized data center, captures entire vehicle autonomous environment and information to provide the intimation to the source vehicle. At this time the source vehicle, exchange the data to the unknown destination vehicle and any wrong decision may cause chances for the attacker to enter into the autonomous vehicular network. Priority scheduling and secure data transmission is difficult in vehicular network. The mean completion time of data distribution to autonomous destination vehicle should consider high priority. With this priority the source vehicle have a decision problem of transfer correct acknowledged data to the correct destination vehicle. In this article, we are proposing priority schedule multicast broadcasting and Ideal Decision making algorithm for decentralized data center to enhance security to data communication and experimental simulation scenario shows the increase in performance of data dissemination. In addition, we are also introducing a metaheuristic algorithm to provide solid decisions without knowing the threat vehicle participation in autonomous vehicular network. Our final experimental results shows the performance of secure data transmission, decentralized data center for multicast broadcasting and priority scheduling with reduced congestion in comparison to dynamic, optimal, cluster recursive and message digest.