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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/22/7756 |
| _version_ | 1797510422792765440 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:31:17Z |
| format | Article |
| id | doaj.art-2e762f5ea7894aada848fdf15e108205 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T05:31:17Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2e762f5ea7894aada848fdf15e1082052023-11-22T23:12:57ZengMDPI AGEnergies1996-10732021-11-011422775610.3390/en14227756Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in MicrogridsLiang Zhong 0Shizhong Zhang 1Yidu Zhang 2Guang Chen 3Yong Liu 4School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, ChinaSchool of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, ChinaWuhan Institute of Ship Communication, Wuhan 430074, ChinaSchool of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, ChinaSchool of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, ChinaWireless 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.https://www.mdpi.com/1996-1073/14/22/7756microgridswireless sensor networktopology controlcluster members associationacquisition time design |
| spellingShingle | Liang Zhong Shizhong Zhang Yidu Zhang Guang Chen Yong Liu Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids Energies microgrids wireless sensor network topology control cluster members association acquisition time design |
| title | 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_short | 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 |
| topic | microgrids wireless sensor network topology control cluster members association acquisition time design |
| url | https://www.mdpi.com/1996-1073/14/22/7756 |
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