Secure Clustering and Routing Based Multi Objective Walrus Optimization Algorithm for Wireless Sensor Networks

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-V12I1P121

How to Cite?

M. Venkata Krishna Rao, C. Atheeq, "Secure Clustering and Routing Based Multi Objective Walrus Optimization Algorithm for Wireless Sensor Networks," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 1, pp. 211-221, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I1P121

Abstract:

Wireless Sensor Networks (WSNs) contain many small automatic devices distributed by the area of interest where the wireless links transmit the gathered data. However, the WSN nodes are vulnerable to various security threats due to the nodes being positioned in open environments. This research proposes the Secured-Multi Objective Walrus Optimization Algorithm (S-MOWaOA) for secure clustering and routing in WSN. The secure Cluster Heads (CHs) are selected by using S-MOWaOA with less energy consumption, avoiding malicious nodes during the selection of CHs. Then, the clusters are generated using the potential function, while the routing is performed by S-MOWaOA. The optimum routes are chosen through S-MOWaOA with a shorter distance and enhanced network lifetime. The S-MOWaOA is determined with different key metrics namely, alive nodes, energy consumption, delay, throughput, Packet Delivery Ratio (PDR), and Packet Loss Ratio (PLR). The S-MOWaOA consumes a lesser energy of 3J for 1000 rounds, 6J for 2000 rounds, 8J for 3000 rounds, 12J for 4000 rounds, and 16J for 5000 rounds, proving to be more effective when compared to Tuna Swarm optimization and Fuzzy Control theory (TSFC).

Keywords:

Multi objective, Routing, Secure cluster heads, Walrus optimization algorithm, Wireless Sensor Networks.

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