A Novel Bi-Tuning SSO Algorithm for Optimizing the Budget-Limited Sensing Coverage Problem in Wireless Sensor Networks

The wireless sensor network (WSN) plays an essential role in various practical smart applications, e.g., smart grids, smart factories, Internet of Things, and smart homes, etc. WSNs are comprised and embedded wireless smart sensors. With advanced developments in wireless sensor networks research, se...

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Autores principales:	Wenbo Zhu, Chia-Ling Huang, Wei-Chang Yeh, Yunzhi Jiang, Shi-Yi Tan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	sensor for wireless sensing network budget limited sensing coverage problem simplified swarm optimization (SSO) parameter tuning Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/52d7b72bffc842e2a3b99f057265d746
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spelling	oai:doaj.org-article:52d7b72bffc842e2a3b99f057265d7462021-11-11T15:15:16ZA Novel Bi-Tuning SSO Algorithm for Optimizing the Budget-Limited Sensing Coverage Problem in Wireless Sensor Networks10.3390/app1121101972076-3417https://doaj.org/article/52d7b72bffc842e2a3b99f057265d7462021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10197https://doaj.org/toc/2076-3417The wireless sensor network (WSN) plays an essential role in various practical smart applications, e.g., smart grids, smart factories, Internet of Things, and smart homes, etc. WSNs are comprised and embedded wireless smart sensors. With advanced developments in wireless sensor networks research, sensors have been rapidly used in various fields. In the meantime, the WSN performance depends on the coverage ratio of the sensors being used. However, the coverage of sensors generally relates to their cost, which usually has a limit. Hence, a new bi-tuning simplified swarm optimization (SSO) is proposed that is based on the SSO to solve such a budget-limited WSN sensing coverage problem to maximize the number of coverage areas to improve the performance of WSNs. The proposed bi-tuning SSO enhances SSO by integrating the novel concept to tune both the SSO parameters and SSO update mechanism simultaneously. The performance and applicability of the proposed bi-tuning SSO using seven different parameter settings are demonstrated through an experiment involving nine WSN tests ranging from 20, 100, to 300 sensors. The proposed bi-tuning SSO outperforms two state-of-the-art algorithms: genetic algorithm (GA) and particle swarm optimization (PSO), and can efficiently accomplish the goals of this work.Wenbo ZhuChia-Ling HuangWei-Chang YehYunzhi JiangShi-Yi TanMDPI AGarticlesensor for wireless sensing networkbudget limitedsensing coverage problemsimplified swarm optimization (SSO)parameter tuningTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10197, p 10197 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sensor for wireless sensing network budget limited sensing coverage problem simplified swarm optimization (SSO) parameter tuning Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	sensor for wireless sensing network budget limited sensing coverage problem simplified swarm optimization (SSO) parameter tuning Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Wenbo Zhu Chia-Ling Huang Wei-Chang Yeh Yunzhi Jiang Shi-Yi Tan A Novel Bi-Tuning SSO Algorithm for Optimizing the Budget-Limited Sensing Coverage Problem in Wireless Sensor Networks
description	The wireless sensor network (WSN) plays an essential role in various practical smart applications, e.g., smart grids, smart factories, Internet of Things, and smart homes, etc. WSNs are comprised and embedded wireless smart sensors. With advanced developments in wireless sensor networks research, sensors have been rapidly used in various fields. In the meantime, the WSN performance depends on the coverage ratio of the sensors being used. However, the coverage of sensors generally relates to their cost, which usually has a limit. Hence, a new bi-tuning simplified swarm optimization (SSO) is proposed that is based on the SSO to solve such a budget-limited WSN sensing coverage problem to maximize the number of coverage areas to improve the performance of WSNs. The proposed bi-tuning SSO enhances SSO by integrating the novel concept to tune both the SSO parameters and SSO update mechanism simultaneously. The performance and applicability of the proposed bi-tuning SSO using seven different parameter settings are demonstrated through an experiment involving nine WSN tests ranging from 20, 100, to 300 sensors. The proposed bi-tuning SSO outperforms two state-of-the-art algorithms: genetic algorithm (GA) and particle swarm optimization (PSO), and can efficiently accomplish the goals of this work.
format	article
author	Wenbo Zhu Chia-Ling Huang Wei-Chang Yeh Yunzhi Jiang Shi-Yi Tan
author_facet	Wenbo Zhu Chia-Ling Huang Wei-Chang Yeh Yunzhi Jiang Shi-Yi Tan
author_sort	Wenbo Zhu
title	A Novel Bi-Tuning SSO Algorithm for Optimizing the Budget-Limited Sensing Coverage Problem in Wireless Sensor Networks
title_short	A Novel Bi-Tuning SSO Algorithm for Optimizing the Budget-Limited Sensing Coverage Problem in Wireless Sensor Networks
title_full	A Novel Bi-Tuning SSO Algorithm for Optimizing the Budget-Limited Sensing Coverage Problem in Wireless Sensor Networks
title_fullStr	A Novel Bi-Tuning SSO Algorithm for Optimizing the Budget-Limited Sensing Coverage Problem in Wireless Sensor Networks
title_full_unstemmed	A Novel Bi-Tuning SSO Algorithm for Optimizing the Budget-Limited Sensing Coverage Problem in Wireless Sensor Networks
title_sort	novel bi-tuning sso algorithm for optimizing the budget-limited sensing coverage problem in wireless sensor networks
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/52d7b72bffc842e2a3b99f057265d746
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A Novel Bi-Tuning SSO Algorithm for Optimizing the Budget-Limited Sensing Coverage Problem in Wireless Sensor Networks

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