A Novel SCH-VSCH Selection-Enabled Energy Efficient Optimal Path Selection in WSN using LA-FLS and BM-SCSO

International Journal of Electrical and Electronics Engineering

© 2026 by SSRG - IJEEE Journal

Volume 13 Issue 3

Year of Publication : 2026

Authors : Ab Wahid Bhat, Abhiruchi Passi

10.14445/23488379/IJEEE-V13I3P110

How to Cite?

Ab Wahid Bhat, Abhiruchi Passi, "A Novel SCH-VSCH Selection-Enabled Energy Efficient Optimal Path Selection in WSN using LA-FLS and BM-SCSO," SSRG International Journal of Electrical and Electronics Engineering, vol. 13,  no. 3, pp. 125-139, 2026. Crossref, https://doi.org/10.14445/23488379/IJEEE-V13I3P110

Abstract:

In Wireless Sensor Networks (WSNs), Energy optimization focuses on lessening energy consumption to lengthen the network’s lifetime. Nevertheless, the existing studies did not perform a Vice Super Cluster Head (VSCH) with secure handover when the Super Cluster Head (SCH) energy is dropped. Thus, this paper proposes Super Cluster Head Vice Super Cluster Head (SCH-VSCH) selection-enabled Energy-Efficient (EE) optimal path selection in WSN using Log Adjustable Fuzzy Logic System (LA-FLS) and Baker Map Sand Cat Swarm Optimization (BM-SCSO). Initially, the WSN nodes are initialized randomly. Then, by using Clipped Voronoi Diagram-Sinusoidal Sigma Representation Yule’s K-Means clustering (CVD-2SRY-KMeans), the redundant Sensor Nodes (SNs) are reduced. Next, based on LS-FLS, the SCH-VSCH is selected. Afterward, between the source and destination, the hop count is estimated. Then, by using the Log Hop First Scheduling Algorithm (LHFSA), the nodes are scheduled according to the hop count. Later, by using the Ad hoc On-demand Distance Vector (AODV) protocol, the possible routes for the packet transmission are generated. Currently, from the SNs, the data is sensed. The congestion of the node is estimated by using LA-FLS according to the packet arrival rate. If congestion is present, then it is minimized by the backpressure method. Lastly, by employing BM-SCSO, the optimal path is selected. SCH’s position is securely handed over to VSCH by the Doubling-Doche-Digital-Oriented-Icart-Kohel Signature Algorithm (D3-OIKSA) if the SCH energy drops. Next, for reliable packet transmission, the remaining steps are processed. As per the results, the proposed framework achieved a high throughput of 56825.74916 bytes, thus outperforming prevailing techniques.

Keywords:

Wireless Sensor Networks (WSN), Super Cluster Head (SCH), Vice SCH (VSCH), Optimal path selection, Secure handover, Congestion reduction, Energy optimization, and Ad hoc On-demand Distance Vector (AODV).

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