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Secure and Energy Efficient Clustering and Routing Scheme Using Multi-Objective Trust-Aware Golf Optimization Algorithm in Wireless Sensor Network

International Journal of Electrical and Electronics Engineering
© 2025 by SSRG - IJEEE Journal
Volume 12 Issue 1
Year of Publication : 2025
Authors : M. Venkata Krishna Rao, C. Atheeq
10.14445/23488379/IJEEE-V12I1P114
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How to Cite?

M. Venkata Krishna Rao, C. Atheeq, "Secure and Energy Efficient Clustering and Routing Scheme Using Multi-Objective Trust-Aware Golf Optimization Algorithm in Wireless Sensor Network," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 1, pp. 151-162, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I1P114

Abstract:

Wireless Sensor Networks (WSN) have become a vital technology for monitoring and tracking applications across various applications. It senses an environment, gathers data, and transmits it to the Base Station (BS) for analysis. However, energy efficiency and security are challenging because of an open environment and a limited battery source. This research proposes a Multi-objective Trust-Aware Golf Optimization Algorithm (M-TAGOA) to achieve a secure and energy-efficient clustering and routing process in WSN. M-TAGOA chooses a Secure Cluster Head (SCH) depending on the distance between the neighbor nodes, the distance between BS and CH, node degree, and trust threshold like direct, indirect, and recommendation trust are the multi-objective functions. Then, secure routing is determined by M-TAGOA with energy and distance. Hence, the M-TAGOA prevents malicious nodes, which enhances data delivery and avoids excessive energy consumption. M-TAGOA achieves less consumption of energy at 0.05 mJ compared to existing techniques like Neuro-Fuzzy-based clustering with Sparrow Search Optimization Algorithm (NF-SSOA).

Keywords:

Base station, Multi-objective trust-aware golf optimization algorithm, Secure cluster head, Secure routing, Wireless Sensor Networks.

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