A new PSO-ABC wireless sensor network coverage optimization algorithm

Mingkun Fan; Zimo Jia; Yitong Wang; Zhiyuan Zuo

doi:10.1117/12.2654067

18 November 2022 A new PSO-ABC wireless sensor network coverage optimization algorithm

Mingkun Fan, Zimo Jia, Yitong Wang, Zhiyuan Zuo

Proceedings Volume 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022); 1247316 (2022) https://doi.org/10.1117/12.2654067
Event: Second International Conference on Optics and Communication Technology (ICOCT 2022), 2022, Hefei, China

Abstract

Based on the development of wireless communication technology, wireless sensor network (WSN) composed of micro sensors has been widely used. Aiming at the problems of uneven node distribution and energy consumption in wireless sensor networks, A PSO-ABC hybrid algorithm based on accurate perception model is proposed in this paper. The algorithm takes network coverage and energy consumption of sensor node deployment as objective optimization functions, introduces virtual force -- Molecular force, and adaptively adjusts the inertia weight of the algorithm, which can significantly improve the diversity of particles and network coverage. The communication of information by PSO-ABC makes it as efficient as possible to jump out of the local optimality and improves the convergence accuracy of the algorithm. Information exchange mechanism is used to exchange search information to avoid local optimization. On this basis, our objective optimization is to improve network coverage and reduce energy costs. By using the proposed PSO-ABC hybrid algorithm to search for the optimal deployment scheme of nodes, coverage blind areas and coverage redundancy in the network can be significantly avoided.

Citation Download Citation

Mingkun Fan, Zimo Jia, Yitong Wang, and Zhiyuan Zuo "A new PSO-ABC wireless sensor network coverage optimization algorithm", Proc. SPIE 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022), 1247316 (18 November 2022); https://doi.org/10.1117/12.2654067

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KEYWORDS

Particles

Sensors

Optimization (mathematics)

Particle swarm optimization

Sensor networks

Statistical modeling

Computer simulations

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