Research on Wireless Sensor Network Positioning Based on Genetic Algorithm

For smart city wireless sensing network construction needs, a network positioning algorithm based on genetic algorithm is proposed. The genetic algorithm uses a real number encoding, and the positioning model is constructed by analyzing the communication constraint between unknown nodes and a small...

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Autores principales:	Jing Zhang, Yajing Hu, Hongliang Li
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/2c612afc1e5c4c90817ba0779ca47ebd
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spelling	oai:doaj.org-article:2c612afc1e5c4c90817ba0779ca47ebd2021-11-29T00:56:08ZResearch on Wireless Sensor Network Positioning Based on Genetic Algorithm1530-867710.1155/2021/3996401https://doaj.org/article/2c612afc1e5c4c90817ba0779ca47ebd2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3996401https://doaj.org/toc/1530-8677For smart city wireless sensing network construction needs, a network positioning algorithm based on genetic algorithm is proposed. The genetic algorithm uses a real number encoding, and the positioning model is constructed by analyzing the communication constraint between unknown nodes and a small amount of anchor nodes and constructs the positioning model, and the model is solved. The results show that when the ranging error is 50%, the positioning error is only increased by approximately 15% compared to the nonranging error. In a more harsh environment, if the ranging error is equal to the node wireless range, the ranging error is 100%, and the positioning error and the positioning ratio are not significantly changed. The scheme obtained by this algorithm can be well approarded with an ideal limit. In the case where the sensor node is given, the algorithm can obtain the maximum coverage.Jing ZhangYajing HuHongliang LiHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Jing Zhang Yajing Hu Hongliang Li Research on Wireless Sensor Network Positioning Based on Genetic Algorithm
description	For smart city wireless sensing network construction needs, a network positioning algorithm based on genetic algorithm is proposed. The genetic algorithm uses a real number encoding, and the positioning model is constructed by analyzing the communication constraint between unknown nodes and a small amount of anchor nodes and constructs the positioning model, and the model is solved. The results show that when the ranging error is 50%, the positioning error is only increased by approximately 15% compared to the nonranging error. In a more harsh environment, if the ranging error is equal to the node wireless range, the ranging error is 100%, and the positioning error and the positioning ratio are not significantly changed. The scheme obtained by this algorithm can be well approarded with an ideal limit. In the case where the sensor node is given, the algorithm can obtain the maximum coverage.
format	article
author	Jing Zhang Yajing Hu Hongliang Li
author_facet	Jing Zhang Yajing Hu Hongliang Li
author_sort	Jing Zhang
title	Research on Wireless Sensor Network Positioning Based on Genetic Algorithm
title_short	Research on Wireless Sensor Network Positioning Based on Genetic Algorithm
title_full	Research on Wireless Sensor Network Positioning Based on Genetic Algorithm
title_fullStr	Research on Wireless Sensor Network Positioning Based on Genetic Algorithm
title_full_unstemmed	Research on Wireless Sensor Network Positioning Based on Genetic Algorithm
title_sort	research on wireless sensor network positioning based on genetic algorithm
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/2c612afc1e5c4c90817ba0779ca47ebd
work_keys_str_mv	AT jingzhang researchonwirelesssensornetworkpositioningbasedongeneticalgorithm AT yajinghu researchonwirelesssensornetworkpositioningbasedongeneticalgorithm AT hongliangli researchonwirelesssensornetworkpositioningbasedongeneticalgorithm
_version_	1718407695286927360

Research on Wireless Sensor Network Positioning Based on Genetic Algorithm

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