Autonomous Vehicles, Volume 2

9Cluster Optimization Using Metaheuristic JAYA Algorithm for Secure VANETs

Gurjot Kaur*, Deepti Kakkar^† and Davinder Singh^‡

Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar, National Institute of Technology, Jalandhar, India

Abstract

Vehicular Ad-hoc Networks (VANETs) form a crucial element in the deployment of smart concept of Intelligent Transport System (ITS). In VANETs, an ad hoc network is established among the vehicles for sharing of information that could be effective in traffic management and its smooth operability. The messages that are shared could be of emergency-related purposes like accident warning, landslides, congestion in the road, poor road quality or commercial and convenience information such as location information of particular stores, petrol pumps, tolls, parking, area specific entertainment, etc. The cryptography- based solutions have been discussed in the literature as the solution to all security concerns in VANETs but these are highly computationally expensive as well as very difficult and complex to manage. Trust models are the lightweight and computationally inexpensive solution to deal with these attacks. These trust models have been discussed in this work where the messages are forwarded and received from the trustworthy node only and the malicious nodes are not allowed to participate in the communication. Clustering of vehicles has been carried out in the literature with the help of swarm intelligence optimization techniques ...