Abstract
Vehicular Ad Hoc Network (VANET) is a kind of extraordinary remote ad hoc network, which has high node portability and quick topology changes. Clustering is a system for gathering nodes, making the network increasingly vigorous. With no consciousness of nodes, at some point, it comes up short on energy which causes execution issues in network and topology changes. At that point, it emerges a primary issue of energy in routing protocol, which endeavor node lifetime and link lifetime issues in the network. To broaden the energy effectiveness of V2V communication, proposed a clustering based optimization technique. This paper presents K-Medoid Clustering model to cluster the vehicle nodes and after that, energy efficient nodes are recognized for compelling communication. With the expectation of accomplishing energy efficient communication, efficient nodes are recognized from each cluster by a metaheuristic algorithm, for example, Enhanced Dragonfly Algorithm (EDA) which optimizes the parameter as minimum consumption of energy in VANET. The outcome exhibits that the V2V communication improves the energy efficiency in all vehicle nodes additionally it accomplishes less execution time contrasted with existing algorithms.
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Elhoseny, M., Shankar, K. (2020). Energy Efficient Optimal Routing for Communication in VANETs via Clustering Model. In: Elhoseny, M., Hassanien, A. (eds) Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks. Studies in Systems, Decision and Control, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-030-22773-9_1
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DOI: https://doi.org/10.1007/978-3-030-22773-9_1
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