Search and Rescue with Continuous Butterfly Optimization Algorithm for Secure Routing in Clustered Vehicular Networks

Search and Rescue with Continuous Butterfly Optimization Algorithm for Secure Routing in Clustered Vehicular Networks
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© 2022 by IJETT Journal
Volume-70 Issue-10
Year of Publication : 2022
Authors : M V B Murali Krishna M, C. Anbu Ananth, N. Krishnaraj
DOI : 10.14445/22315381/IJETT-V70I10P223

How to Cite?

M V B Murali Krishna M, C. Anbu Ananth, N. Krishnaraj, "Search and Rescue with Continuous Butterfly Optimization Algorithm for Secure Routing in Clustered Vehicular Networks," International Journal of Engineering Trends and Technology, vol. 70, no. 10, pp. 247-255, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I10P223

Abstract
Recently, vehicular ad hoc network (VANET) has gained significant interest among research communities owing to the rapid innovations in autonomous driving technologies. The vehicles in VANET can interact with one another using the clusters and optimal routes. But the adequate changes in the VANET topology result in abrupt link distortions and high Delay. Besides, security is also a challenging issue in the VANET, which needs to be considered in designing a clustered-based routing approach for VANET. This study develops a novel search and rescue with a continuous butterfly optimization algorithm for multihop secure routing (SRCBO-MHSR) protocol for clustered VANET. The major intention of the SRCBOMHSR model is to accomplish secure data transmission in VANET. The SRCBO-MHSR model initially derives a search and rescue optimization-based clustering (SAROC) technique for proficiently election cluster heads (CHs). Besides, the continuous butterfly optimization-based multihop routing (CBO-MHR) technique has been developed for optimal path selection. The CBOMHR technique derives a fitness function with the inclusion of trust factors for secure data transmission in the network. The results of the SRCBO-MHSR technique are carried out, and outcomes are compared with existing models. The obtained results portrayed the efficiency of the SRCBO-MHSR technique with other benchmark models.

Keywords
Clustering, Multihop Routing, Metaheuristics, Secure Routing, VANET.

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