VANET Clustering Using Whale optimization Algorithm

Abstract

Vehicular Ad hoc Networks (VANETs) are useful for many safety and commercial applications. Enabling effective communication in a VANET is challenging due to the dynamic topology and frequent link disconnections. Clustering is seen as one of the possible solutions to achieve effective communication in VANETs. However, one of the key challenges is to minimize the number of clusters under increasing number of communicating nodes. To this end, based on the bubble net feeding behavior of Whales i.e., Whale optimization Algorithm (WOA), we propose Whale optimization Based Clustering Algorithm for VANET (WOCANET) that aims to reduce the clusters and helps achieve reduced end-to-end delays. WOCANET clustering algorithm is tested in MATLAB and compared with a similar approach to confirm its usefulness.