Evolutionary formation of stable clusters in wireless sensor networks

Xiao Wang; Shuxu Zhao; Junhua Geng

doi:10.1117/12.3029183

6 May 2024 Evolutionary formation of stable clusters in wireless sensor networks

Xiao Wang, Shuxu Zhao, Junhua Geng

Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 131070X (2024) https://doi.org/10.1117/12.3029183
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China

Abstract

In wireless sensor networks (WSNs), the limited energy and uneven energy consumption of nodes pose challenges that can impact the overall network lifespan. To address the issue of uneven energy distribution in large-scale wireless sensor networks during operation, a clustering routing algorithm based on evolutionary game theory for energy balance is proposed. This method adjusts the service areas of nodes by observing the profits obtained by cluster members, aiming to reduce and balance the energy load among clusters, thereby prolonging the network's lifetime. Firstly, sensor nodes are clustered using the K-means method based on their energy levels. Then, an evolutionary game is employed to balance clusters based on their profits, striving to achieve energy balance among clusters and enhance the overall network's effective operational time, ultimately improving network performance. Experimental results indicate that compared to the LEACH protocol, PEGASIS routing protocol, energy-efficient clustering algorithm based on game theory (GEC), and the optimal clustering algorithm based on evolutionary game theory for wireless sensor networks (OCEG), the KEGT algorithm can better balance node energy consumption and extend network lifetime.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiao Wang, Shuxu Zhao, and Junhua Geng "Evolutionary formation of stable clusters in wireless sensor networks", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131070X (6 May 2024); https://doi.org/10.1117/12.3029183

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