DI-GEP: A New Lifetime Extending Algorithm for Target Tracking in Wireless Sensor Networks
Wireless sensor networks (WSNs) are widely used in detecting, locating, and tracking moving objects. The cheap, low-powered, and energy-limited sensors that are set up in large areas may consume large portion of energy and disable the whole network. In this paper, a new energy-efficient method based...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2012/467497 |
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| _version_ | 1832556793110200320 |
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| author | Shucheng Dai Chuan Li Chun Chen |
| author_facet | Shucheng Dai Chuan Li Chun Chen |
| author_sort | Shucheng Dai |
| collection | DOAJ |
| description | Wireless sensor networks (WSNs) are widely used in detecting, locating, and tracking moving objects. The cheap, low-powered, and energy-limited sensors that are set up in large areas may consume large portion of energy and disable the whole network. In this paper, a new energy-efficient method based on Distributed Incremental Gene Expression Programming (DI-GEP) is proposed to collaboratively mine moving patterns of moving targets in order to turn on/off some sensor nodes at certain time to save energy further. Meanwhile, an adjustable sliding window is designed to quickly train the latest collected location data in order to improve the efficiency of DI-GEP. The simulation results show that the proposed method effectively prolongs the network lifetime by around 25% compared with the EKF and ECPA. |
| format | Article |
| id | doaj-art-01a101d8c0ff4b2890729ce9df87dd21 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2012-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-01a101d8c0ff4b2890729ce9df87dd212025-02-03T05:44:19ZengWileyInternational Journal of Distributed Sensor Networks1550-14772012-03-01810.1155/2012/467497DI-GEP: A New Lifetime Extending Algorithm for Target Tracking in Wireless Sensor NetworksShucheng Dai0Chuan Li1Chun Chen2 College of Computer Science, Sichuan University, Sichuan 61065, China College of Computer Science, Sichuan University, Sichuan 61065, China Business School, Sichuan Normal University, Sichuan 61065, ChinaWireless sensor networks (WSNs) are widely used in detecting, locating, and tracking moving objects. The cheap, low-powered, and energy-limited sensors that are set up in large areas may consume large portion of energy and disable the whole network. In this paper, a new energy-efficient method based on Distributed Incremental Gene Expression Programming (DI-GEP) is proposed to collaboratively mine moving patterns of moving targets in order to turn on/off some sensor nodes at certain time to save energy further. Meanwhile, an adjustable sliding window is designed to quickly train the latest collected location data in order to improve the efficiency of DI-GEP. The simulation results show that the proposed method effectively prolongs the network lifetime by around 25% compared with the EKF and ECPA.https://doi.org/10.1155/2012/467497 |
| spellingShingle | Shucheng Dai Chuan Li Chun Chen DI-GEP: A New Lifetime Extending Algorithm for Target Tracking in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | DI-GEP: A New Lifetime Extending Algorithm for Target Tracking in Wireless Sensor Networks |
| title_full | DI-GEP: A New Lifetime Extending Algorithm for Target Tracking in Wireless Sensor Networks |
| title_fullStr | DI-GEP: A New Lifetime Extending Algorithm for Target Tracking in Wireless Sensor Networks |
| title_full_unstemmed | DI-GEP: A New Lifetime Extending Algorithm for Target Tracking in Wireless Sensor Networks |
| title_short | DI-GEP: A New Lifetime Extending Algorithm for Target Tracking in Wireless Sensor Networks |
| title_sort | di gep a new lifetime extending algorithm for target tracking in wireless sensor networks |
| url | https://doi.org/10.1155/2012/467497 |
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