An Intelligent Cluster-Based Energy Efficient Optimization Algorithm to Improve the Network Performance in VANET

Abstract

VANETs are a type of mobile ad hoc network that provides significant mobility to its users. The network that disseminates information among automobiles to aid with roadside traffic monitoring, navigation and vehicle safety. In the VANET, clustering solves the scalability problem while also making the network more robust. To accomplish efficient resource usage, the research proposes an energy-efficient clustering mechanism. Cluster creation relies on the node's optimized energy processing ability. In a similar setting, the proposed technique is validated using NS2, and its performance is compared to existing residual energy-based clustering. In terms of energy usage, packet delivery, and delay, the results show that the suggested technique outperforms.