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A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks
Wireless charging is an important issue in wireless sensor networks, since it can provide an emerging and effective solution in the absence of other power supplies. The state-of-the-art methods employ a mobile car and a predefined moving path to charge the sensor nodes in the network. Previous studi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539798/ https://www.ncbi.nlm.nih.gov/pubmed/28677639 http://dx.doi.org/10.3390/s17071560 |
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author | Tu, Weijian Xu, Xianghua Ye, Tingcong Cheng, Zongmao |
author_facet | Tu, Weijian Xu, Xianghua Ye, Tingcong Cheng, Zongmao |
author_sort | Tu, Weijian |
collection | PubMed |
description | Wireless charging is an important issue in wireless sensor networks, since it can provide an emerging and effective solution in the absence of other power supplies. The state-of-the-art methods employ a mobile car and a predefined moving path to charge the sensor nodes in the network. Previous studies only consider a factor of the network (i.e., residual energy of sensor node) as a constraint to design the wireless charging strategy. However, other factors, such as the travelled distance of the mobile car, can also affect the effectiveness of wireless charging strategy. In this work, we study wireless charging strategy based on the analysis of a combination of two factors, including the residual energy of sensor nodes and the travelled distance of the charging car. Firstly, we theoretically analyze the limited size of the sensor network to match the capability of a charging car. Then, the networked factors are selected as the weights of traveling salesman problem (TSP) to design the moving path of the charging car. Thirdly, the charging time of each sensor node is computed based on the linear programming problem for the charging car. Finally, a charging period for the network is studied. The experimental results show that the proposed approach can significantly maximize the lifetime of the wireless sensor network. |
format | Online Article Text |
id | pubmed-5539798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-55397982017-08-11 A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks Tu, Weijian Xu, Xianghua Ye, Tingcong Cheng, Zongmao Sensors (Basel) Article Wireless charging is an important issue in wireless sensor networks, since it can provide an emerging and effective solution in the absence of other power supplies. The state-of-the-art methods employ a mobile car and a predefined moving path to charge the sensor nodes in the network. Previous studies only consider a factor of the network (i.e., residual energy of sensor node) as a constraint to design the wireless charging strategy. However, other factors, such as the travelled distance of the mobile car, can also affect the effectiveness of wireless charging strategy. In this work, we study wireless charging strategy based on the analysis of a combination of two factors, including the residual energy of sensor nodes and the travelled distance of the charging car. Firstly, we theoretically analyze the limited size of the sensor network to match the capability of a charging car. Then, the networked factors are selected as the weights of traveling salesman problem (TSP) to design the moving path of the charging car. Thirdly, the charging time of each sensor node is computed based on the linear programming problem for the charging car. Finally, a charging period for the network is studied. The experimental results show that the proposed approach can significantly maximize the lifetime of the wireless sensor network. MDPI 2017-07-04 /pmc/articles/PMC5539798/ /pubmed/28677639 http://dx.doi.org/10.3390/s17071560 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tu, Weijian Xu, Xianghua Ye, Tingcong Cheng, Zongmao A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks |
title | A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks |
title_full | A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks |
title_fullStr | A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks |
title_full_unstemmed | A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks |
title_short | A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks |
title_sort | study on wireless charging for prolonging the lifetime of wireless sensor networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539798/ https://www.ncbi.nlm.nih.gov/pubmed/28677639 http://dx.doi.org/10.3390/s17071560 |
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