Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids

Wireless sensor networks are used to monitor the operating status of the microgrids, which can effectively improve the stability of power supplies. The topology control is a critical issue of wireless sensor networks, which affects monitoring data transmission reliability and lifetime of wireless se...

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Autores principales: Liang Zhong , Shizhong Zhang , Yidu Zhang , Guang Chen , Yong Liu 
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/2e762f5ea7894aada848fdf15e108205
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spelling oai:doaj.org-article:2e762f5ea7894aada848fdf15e1082052021-11-25T17:28:31ZJoint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids10.3390/en142277561996-1073https://doaj.org/article/2e762f5ea7894aada848fdf15e1082052021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7756https://doaj.org/toc/1996-1073Wireless sensor networks are used to monitor the operating status of the microgrids, which can effectively improve the stability of power supplies. The topology control is a critical issue of wireless sensor networks, which affects monitoring data transmission reliability and lifetime of wireless sensor networks. Meanwhile, the data acquisition accuracy of wireless sensor networks has a great impact on the quality of monitoring. Therefore, this paper focuses on improving wireless sensor networks data acquisition satisfaction and energy efficiency. A joint acquisition time design and sensor association optimization algorithm is proposed to prolong the lifetime of wireless sensor networks and enhance the stability of monitoring, which considers the cluster heads selection, data collection satisfaction and sensor association. First, a multi-constrained mixed-integer programming problem, which combines acquisition time design and sensor association, is formulated to maximize data acquisition satisfaction and minimize energy consumption. To solve this problem, we propose an iterative algorithm based on block coordinate descent technology. In each iteration, the acquisition time is obtained by Lagrangian duality. After that, the sensor association is modeled as a 0–1 knapsack problem, and the three different methods are proposed to solve it. Finally, the simulations are provided to demonstrate the efficiency of the algorithm proposed in this paper.Liang Zhong Shizhong Zhang Yidu Zhang Guang Chen Yong Liu MDPI AGarticlemicrogridswireless sensor networktopology controlcluster members associationacquisition time designTechnologyTENEnergies, Vol 14, Iss 7756, p 7756 (2021)
institution DOAJ
collection DOAJ
language EN
topic microgrids
wireless sensor network
topology control
cluster members association
acquisition time design
Technology
T
spellingShingle microgrids
wireless sensor network
topology control
cluster members association
acquisition time design
Technology
T
Liang Zhong 
Shizhong Zhang 
Yidu Zhang 
Guang Chen 
Yong Liu 
Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids
description Wireless sensor networks are used to monitor the operating status of the microgrids, which can effectively improve the stability of power supplies. The topology control is a critical issue of wireless sensor networks, which affects monitoring data transmission reliability and lifetime of wireless sensor networks. Meanwhile, the data acquisition accuracy of wireless sensor networks has a great impact on the quality of monitoring. Therefore, this paper focuses on improving wireless sensor networks data acquisition satisfaction and energy efficiency. A joint acquisition time design and sensor association optimization algorithm is proposed to prolong the lifetime of wireless sensor networks and enhance the stability of monitoring, which considers the cluster heads selection, data collection satisfaction and sensor association. First, a multi-constrained mixed-integer programming problem, which combines acquisition time design and sensor association, is formulated to maximize data acquisition satisfaction and minimize energy consumption. To solve this problem, we propose an iterative algorithm based on block coordinate descent technology. In each iteration, the acquisition time is obtained by Lagrangian duality. After that, the sensor association is modeled as a 0–1 knapsack problem, and the three different methods are proposed to solve it. Finally, the simulations are provided to demonstrate the efficiency of the algorithm proposed in this paper.
format article
author Liang Zhong 
Shizhong Zhang 
Yidu Zhang 
Guang Chen 
Yong Liu 
author_facet Liang Zhong 
Shizhong Zhang 
Yidu Zhang 
Guang Chen 
Yong Liu 
author_sort Liang Zhong 
title Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids
title_short Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids
title_full Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids
title_fullStr Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids
title_full_unstemmed Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids
title_sort joint acquisition time design and sensor association for wireless sensor networks in microgrids
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/2e762f5ea7894aada848fdf15e108205
work_keys_str_mv AT liangzhong jointacquisitiontimedesignandsensorassociationforwirelesssensornetworksinmicrogrids
AT shizhongzhang jointacquisitiontimedesignandsensorassociationforwirelesssensornetworksinmicrogrids
AT yiduzhang jointacquisitiontimedesignandsensorassociationforwirelesssensornetworksinmicrogrids
AT guangchen jointacquisitiontimedesignandsensorassociationforwirelesssensornetworksinmicrogrids
AT yongliu jointacquisitiontimedesignandsensorassociationforwirelesssensornetworksinmicrogrids
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