Optimal Cluster Minimization for VANETs using Modified Tuna Swarm Optimization

Abstract

Vehicular ad hoc networks (VANETs) are Instantaneous networks built by vehicles communicating wirelessly to one another. It is difficult to make this connection possible and reliable because the vehicles move at a faster rate and the link between them is unreliable. Multiple methods are adapted to establish a reliable and stable connection. One of which is cluster-based. Clusters are groups of vehicles that are virtually linked to form a small network. VANET is able to provide a reliable and stable connection through the use of clusters. Several algorithms are proposed for the formation of a cluster that is both efficient and reliable. The proposed modified tuna swarm optimization algorithm aims to decrease the number of clusters while simultaneously boosting the packet delivery ratio and throughput. The results indicate that the proposed method yields results that are close to optimal, making it an efficient method for performing vehicular clustering to improve network performance.