Maximizing the lifetime of wireless sensor networks in trains for monitoring long-distance goods transportation
One key issue in designing battery-powered wireless sensor networks is to properly control the energy consumption of the sensor nodes in order to prolong their operation time (i.e. lifetime ). In this article, we present a real-life application of wireless sensor networks in trains to monitor the go...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717707895 |
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| _version_ | 1832547213782286336 |
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| author | Huiting Xu Xi Jin Fanxin Kong Qingxu Deng |
| author_facet | Huiting Xu Xi Jin Fanxin Kong Qingxu Deng |
| author_sort | Huiting Xu |
| collection | DOAJ |
| description | One key issue in designing battery-powered wireless sensor networks is to properly control the energy consumption of the sensor nodes in order to prolong their operation time (i.e. lifetime ). In this article, we present a real-life application of wireless sensor networks in trains to monitor the goods conditions in a long-distance transportation. We study the wireless sensor network deployment problem in developing a monitoring system with the goal of maximizing the network lifetime under constraints derived from the real application scenario. The key technical problem to solve is to determine the sensor placement and the transmission level for each sensor node, as well as the appropriate number of sensor nodes. We first formulate the problem with a realistic discrete power model as a mixed integer linear programming problem. Then, a two-step efficient deployment heuristic is proposed to satisfy these constraints step by step. The evaluation results indicate that the proposed heuristic performs almost the same as the optimal mixed integer linear programming solution. Moreover, the wireless sensor network with appropriate number of nodes can improve its lifetime up to 10.6% for a train with 80 boxcars. We also discussed a tested experiment in a laboratory environment, as well as the real implementation of the whole monitoring system. |
| format | Article |
| id | doaj-art-425b72d99afe4a57992135e02fd02759 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-425b72d99afe4a57992135e02fd027592025-02-03T06:45:32ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-05-011310.1177/1550147717707895Maximizing the lifetime of wireless sensor networks in trains for monitoring long-distance goods transportationHuiting Xu0Xi Jin1Fanxin Kong2Qingxu Deng3College of Information Science and Engineering, Northeastern University, Shenyang, ChinaShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, ChinaSchool of Computer Science, McGill University, Montreal, QC, CanadaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaOne key issue in designing battery-powered wireless sensor networks is to properly control the energy consumption of the sensor nodes in order to prolong their operation time (i.e. lifetime ). In this article, we present a real-life application of wireless sensor networks in trains to monitor the goods conditions in a long-distance transportation. We study the wireless sensor network deployment problem in developing a monitoring system with the goal of maximizing the network lifetime under constraints derived from the real application scenario. The key technical problem to solve is to determine the sensor placement and the transmission level for each sensor node, as well as the appropriate number of sensor nodes. We first formulate the problem with a realistic discrete power model as a mixed integer linear programming problem. Then, a two-step efficient deployment heuristic is proposed to satisfy these constraints step by step. The evaluation results indicate that the proposed heuristic performs almost the same as the optimal mixed integer linear programming solution. Moreover, the wireless sensor network with appropriate number of nodes can improve its lifetime up to 10.6% for a train with 80 boxcars. We also discussed a tested experiment in a laboratory environment, as well as the real implementation of the whole monitoring system.https://doi.org/10.1177/1550147717707895 |
| spellingShingle | Huiting Xu Xi Jin Fanxin Kong Qingxu Deng Maximizing the lifetime of wireless sensor networks in trains for monitoring long-distance goods transportation International Journal of Distributed Sensor Networks |
| title | Maximizing the lifetime of wireless sensor networks in trains for monitoring long-distance goods transportation |
| title_full | Maximizing the lifetime of wireless sensor networks in trains for monitoring long-distance goods transportation |
| title_fullStr | Maximizing the lifetime of wireless sensor networks in trains for monitoring long-distance goods transportation |
| title_full_unstemmed | Maximizing the lifetime of wireless sensor networks in trains for monitoring long-distance goods transportation |
| title_short | Maximizing the lifetime of wireless sensor networks in trains for monitoring long-distance goods transportation |
| title_sort | maximizing the lifetime of wireless sensor networks in trains for monitoring long distance goods transportation |
| url | https://doi.org/10.1177/1550147717707895 |
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