Coverage Control Optimization Algorithm for Wireless Sensor Networks Based on Combinatorial Mathematics

The traditional wireless sensor network coverage control optimization algorithm has the problems of long completion time, high energy consumption, and low coverage. A new algorithm based on combinational mathematics for wireless sensor network coverage control is proposed. The particle swarm optimiz...

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Autores principales:	Yongjie Wang, Maolin Li
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/c0359b38aa4b4ec1b4ae43d19d08102d
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spelling	oai:doaj.org-article:c0359b38aa4b4ec1b4ae43d19d08102d2021-11-29T00:56:28ZCoverage Control Optimization Algorithm for Wireless Sensor Networks Based on Combinatorial Mathematics1563-514710.1155/2021/6066379https://doaj.org/article/c0359b38aa4b4ec1b4ae43d19d08102d2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6066379https://doaj.org/toc/1563-5147The traditional wireless sensor network coverage control optimization algorithm has the problems of long completion time, high energy consumption, and low coverage. A new algorithm based on combinational mathematics for wireless sensor network coverage control is proposed. The particle swarm optimization (PSO) algorithm is used to optimize the coverage control process of wireless sensor networks. Then, the combined mathematics method is used to detect the local convergence problem. Finally, the quasi-physical forces of quasi-gravity and Coulomb force are used to integrate the quasi-physical force into the particle. In the process of velocity evolution, the speed correction process of particle swarm optimization is optimized, which can effectively avoid the local convergence problem of the particle swarm optimization algorithm, reduce the repeated coverage, and expand the coverage. The experimental results show that compared with the traditional algorithm, the proposed algorithm has short completion time, low energy consumption, and high coverage.Yongjie WangMaolin LiHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Yongjie Wang Maolin Li Coverage Control Optimization Algorithm for Wireless Sensor Networks Based on Combinatorial Mathematics
description	The traditional wireless sensor network coverage control optimization algorithm has the problems of long completion time, high energy consumption, and low coverage. A new algorithm based on combinational mathematics for wireless sensor network coverage control is proposed. The particle swarm optimization (PSO) algorithm is used to optimize the coverage control process of wireless sensor networks. Then, the combined mathematics method is used to detect the local convergence problem. Finally, the quasi-physical forces of quasi-gravity and Coulomb force are used to integrate the quasi-physical force into the particle. In the process of velocity evolution, the speed correction process of particle swarm optimization is optimized, which can effectively avoid the local convergence problem of the particle swarm optimization algorithm, reduce the repeated coverage, and expand the coverage. The experimental results show that compared with the traditional algorithm, the proposed algorithm has short completion time, low energy consumption, and high coverage.
format	article
author	Yongjie Wang Maolin Li
author_facet	Yongjie Wang Maolin Li
author_sort	Yongjie Wang
title	Coverage Control Optimization Algorithm for Wireless Sensor Networks Based on Combinatorial Mathematics
title_short	Coverage Control Optimization Algorithm for Wireless Sensor Networks Based on Combinatorial Mathematics
title_full	Coverage Control Optimization Algorithm for Wireless Sensor Networks Based on Combinatorial Mathematics
title_fullStr	Coverage Control Optimization Algorithm for Wireless Sensor Networks Based on Combinatorial Mathematics
title_full_unstemmed	Coverage Control Optimization Algorithm for Wireless Sensor Networks Based on Combinatorial Mathematics
title_sort	coverage control optimization algorithm for wireless sensor networks based on combinatorial mathematics
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/c0359b38aa4b4ec1b4ae43d19d08102d
work_keys_str_mv	AT yongjiewang coveragecontroloptimizationalgorithmforwirelesssensornetworksbasedoncombinatorialmathematics AT maolinli coveragecontroloptimizationalgorithmforwirelesssensornetworksbasedoncombinatorialmathematics
_version_	1718407732094042112

Coverage Control Optimization Algorithm for Wireless Sensor Networks Based on Combinatorial Mathematics

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