Research Article

An energy efficient cluster head selection in priority region aware wireless sensor networks using metaheuristic algorithms

Number: 062 September 30, 2025

An energy efficient cluster head selection in priority region aware wireless sensor networks using metaheuristic algorithms

Abstract

The cluster head (CH) selection problem is one of the challenges posed by wireless sensor network (WSN) design, where nodes assume leadership roles. The primary objective of this problem is energy conservation, as becoming a CH requires high energy consumption. Therefore, optimizing the CH selection process is crucial. Despite numerous attempts to solve this problem, existing algorithms do not consider area prioritization, where certain regions such as industrial facilities with hazardous zones and military surveillance areas require special attention. This work first describes the standard CH selection problem in non-priority environments and then introduces priority region-aware WSNs. It then presents how energy-efficient CH selection using metaheuristics, with a priority- and energy-aware fitness function developed in this study, can be performed in such networks for the first time in the literature. The findings from comprehensive simulation-based experiments demonstrate the superior performance of both classical and state-of-the-art metaheuristic-driven approaches compared to the baseline Low-Energy Adaptive Clustering Hierarchy (LEACH) algorithm. Specifically, the Adaptive Differential Evolution with Optional External Archive (JADE) algorithm improves the performance of LEACH by up to 16% in terms of the total priority of transferred packets. Additionally, it can extend the lifetime of nodes in high-priority regions by up to 27% to 44%.

Keywords

References

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Details

Primary Language

English

Subjects

Evolutionary Computation, Satisfiability and Optimisation

Journal Section

Research Article

Publication Date

September 30, 2025

Submission Date

July 7, 2025

Acceptance Date

August 1, 2025

Published in Issue

Year 2025 Number: 062

APA
Gökalp, O., Aydın, D., & Uğur, A. (2025). An energy efficient cluster head selection in priority region aware wireless sensor networks using metaheuristic algorithms. Journal of Scientific Reports-A, 062, 71-89. https://doi.org/10.59313/jsr-a.1736649
AMA
1.Gökalp O, Aydın D, Uğur A. An energy efficient cluster head selection in priority region aware wireless sensor networks using metaheuristic algorithms. JSR-A. 2025;(062):71-89. doi:10.59313/jsr-a.1736649
Chicago
Gökalp, Osman, Dogan Aydın, and Aybars Uğur. 2025. “An Energy Efficient Cluster Head Selection in Priority Region Aware Wireless Sensor Networks Using Metaheuristic Algorithms”. Journal of Scientific Reports-A, nos. 062: 71-89. https://doi.org/10.59313/jsr-a.1736649.
EndNote
Gökalp O, Aydın D, Uğur A (September 1, 2025) An energy efficient cluster head selection in priority region aware wireless sensor networks using metaheuristic algorithms. Journal of Scientific Reports-A 062 71–89.
IEEE
[1]O. Gökalp, D. Aydın, and A. Uğur, “An energy efficient cluster head selection in priority region aware wireless sensor networks using metaheuristic algorithms”, JSR-A, no. 062, pp. 71–89, Sept. 2025, doi: 10.59313/jsr-a.1736649.
ISNAD
Gökalp, Osman - Aydın, Dogan - Uğur, Aybars. “An Energy Efficient Cluster Head Selection in Priority Region Aware Wireless Sensor Networks Using Metaheuristic Algorithms”. Journal of Scientific Reports-A. 062 (September 1, 2025): 71-89. https://doi.org/10.59313/jsr-a.1736649.
JAMA
1.Gökalp O, Aydın D, Uğur A. An energy efficient cluster head selection in priority region aware wireless sensor networks using metaheuristic algorithms. JSR-A. 2025;:71–89.
MLA
Gökalp, Osman, et al. “An Energy Efficient Cluster Head Selection in Priority Region Aware Wireless Sensor Networks Using Metaheuristic Algorithms”. Journal of Scientific Reports-A, no. 062, Sept. 2025, pp. 71-89, doi:10.59313/jsr-a.1736649.
Vancouver
1.Osman Gökalp, Dogan Aydın, Aybars Uğur. An energy efficient cluster head selection in priority region aware wireless sensor networks using metaheuristic algorithms. JSR-A. 2025 Sep. 1;(062):71-89. doi:10.59313/jsr-a.1736649