Cluster head selection with dynamic clustering technique using mobility and stability parameters

Abstract

Among the various technologies that are constructing its pillars deep in the field of engineering, there come the ad-hoc networks. The ad-hoc network can be mobile and wireless network. The devices in ad-hoc network make connection without any central co-coordinator. Mobile ad-hoc networks and vehicular ad-hoc networks are two popular areas of ad-hoc networks. VANET is the most popular network nowadays. To increase the efficiency of VANET the work is majorly stressed upon clustering techniques in VANET, as clustering technique ensures higher mobility and stability. Also, the clustering uncomplicated the issues of vehicular nodes by selecting the fittest cluster head on the bases of various parameters such as mobility metrics, relative velocity, relative distance or cluster member lifetime etc. Dynamic clustering scheme is stressed upon providing the stability to the VANET network as it possess dynamic topology hence requiring stabilization and longer cluster head lifespan. VANETs present a largest real time application but lack security, scalability, efficient routing and clustering protocols. The significant aim of the study is to stress upon the clustering and to propose efficient cluster head selection algorithm. So in this paper our work will be to stabilize the cluster head to increase the efficiency of the system model.