Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

In order to realize the intelligent management of a power materials warehouse, the Internet of Things based on wireless sensor networks (WSNs) is a promising effective solution. Considering the limited battery capacity of sensor nodes, the optimization of the topology control and the determination o...

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Autores principales:	Fangqiuzi He, Junfeng Xu, Jinglin Zhong, Guang Chen, Shixin Peng
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	power materials warehouse wireless sensor network topology control Internet of Things data collection Technology T
Acceso en línea:	https://doaj.org/article/922ddb0b4394430b8937559a030c75fc
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id	oai:doaj.org-article:922ddb0b4394430b8937559a030c75fc
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spelling	oai:doaj.org-article:922ddb0b4394430b8937559a030c75fc2021-11-11T16:09:32ZOptimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things10.3390/en142174491996-1073https://doaj.org/article/922ddb0b4394430b8937559a030c75fc2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7449https://doaj.org/toc/1996-1073In order to realize the intelligent management of a power materials warehouse, the Internet of Things based on wireless sensor networks (WSNs) is a promising effective solution. Considering the limited battery capacity of sensor nodes, the optimization of the topology control and the determination of the amount of collected data are critical for prolonging the survival time of WSNs and increasing the satisfaction of the warehouse supplier. Therefore, in this paper, an optimization problem on sensor association and acquisition data satisfaction is proposed, and the subproblem of the sensor association is modeled as the knapsack problem. To cope with it, the block coordinate descent method is used to obtain the suboptimal solution. A sensor association scheme based on the ant colony algorithm (ACO) is proposed, and the upper and lower bounds of this optimization problem are also obtained. After this, a cluster head selection algorithm is given to find the optimal cluster head. Finally, the experimental simulations show that the algorithms proposed in this paper can effectively improve the energy utilization of WSNs to ensure the intelligent management of a power materials warehouse.Fangqiuzi HeJunfeng XuJinglin ZhongGuang ChenShixin PengMDPI AGarticlepower materials warehousewireless sensor networktopology controlInternet of Thingsdata collectionTechnologyTENEnergies, Vol 14, Iss 7449, p 7449 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	power materials warehouse wireless sensor network topology control Internet of Things data collection Technology T
spellingShingle	power materials warehouse wireless sensor network topology control Internet of Things data collection Technology T Fangqiuzi He Junfeng Xu Jinglin Zhong Guang Chen Shixin Peng Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things
description	In order to realize the intelligent management of a power materials warehouse, the Internet of Things based on wireless sensor networks (WSNs) is a promising effective solution. Considering the limited battery capacity of sensor nodes, the optimization of the topology control and the determination of the amount of collected data are critical for prolonging the survival time of WSNs and increasing the satisfaction of the warehouse supplier. Therefore, in this paper, an optimization problem on sensor association and acquisition data satisfaction is proposed, and the subproblem of the sensor association is modeled as the knapsack problem. To cope with it, the block coordinate descent method is used to obtain the suboptimal solution. A sensor association scheme based on the ant colony algorithm (ACO) is proposed, and the upper and lower bounds of this optimization problem are also obtained. After this, a cluster head selection algorithm is given to find the optimal cluster head. Finally, the experimental simulations show that the algorithms proposed in this paper can effectively improve the energy utilization of WSNs to ensure the intelligent management of a power materials warehouse.
format	article
author	Fangqiuzi He Junfeng Xu Jinglin Zhong Guang Chen Shixin Peng
author_facet	Fangqiuzi He Junfeng Xu Jinglin Zhong Guang Chen Shixin Peng
author_sort	Fangqiuzi He
title	Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things
title_short	Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things
title_full	Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things
title_fullStr	Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things
title_full_unstemmed	Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things
title_sort	optimal sensor association and data collection in power materials warehouse based on internet of things
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/922ddb0b4394430b8937559a030c75fc
work_keys_str_mv	AT fangqiuzihe optimalsensorassociationanddatacollectioninpowermaterialswarehousebasedoninternetofthings AT junfengxu optimalsensorassociationanddatacollectioninpowermaterialswarehousebasedoninternetofthings AT jinglinzhong optimalsensorassociationanddatacollectioninpowermaterialswarehousebasedoninternetofthings AT guangchen optimalsensorassociationanddatacollectioninpowermaterialswarehousebasedoninternetofthings AT shixinpeng optimalsensorassociationanddatacollectioninpowermaterialswarehousebasedoninternetofthings
_version_	1718432428099371008

Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

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