Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN
Energy efficient collaborative target tracking in a wireless sensor network (WSN) is considered. It is assumed that the distance estimates of range sensors are contaminated by distance-dependent multiplicative observation noises. The nonlinear measurement model leads to the application of a generali...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2013-12-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/179623 |
| _version_ | 1797710975549308928 |
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| author | Xiaoqing Hu Ming Bao Yu-Hen Hu Bugong Xu |
| author_facet | Xiaoqing Hu Ming Bao Yu-Hen Hu Bugong Xu |
| author_sort | Xiaoqing Hu |
| collection | DOAJ |
| description | Energy efficient collaborative target tracking in a wireless sensor network (WSN) is considered. It is assumed that the distance estimates of range sensors are contaminated by distance-dependent multiplicative observation noises. The nonlinear measurement model leads to the application of a generalized unscented Kalman filtering (GUKF) tracking algorithm. Energy efficient operation is achieved by imposing an energy balance criterion to select a subset of sensors near the target to participate in collaborative tracking without compromising tracking performance. This is formulated as a multiobjective constrained optimization problem that minimizes both the state covariance of the GUKF algorithm and the variance of on-board residue energy of sensor nodes within the detection range of the target. An efficient, distributed, polynomial time heuristic algorithm that achieves a performance close to the optimal solution is proposed. Extended simulation results indicate that this proposed joint scheduling and tracking algorithm is capable of delivering desired tracking performance while significantly extending the WSN lifespan. |
| first_indexed | 2024-03-12T07:00:13Z |
| format | Article |
| id | doaj.art-8fdfec6315e34b6da7d88d6a1859f18a |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T07:00:13Z |
| publishDate | 2013-12-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-8fdfec6315e34b6da7d88d6a1859f18a2023-09-02T23:45:45ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-12-01910.1155/2013/179623179623Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSNXiaoqing Hu0Ming Bao1Yu-Hen Hu2Bugong Xu3 College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, ChinaEnergy efficient collaborative target tracking in a wireless sensor network (WSN) is considered. It is assumed that the distance estimates of range sensors are contaminated by distance-dependent multiplicative observation noises. The nonlinear measurement model leads to the application of a generalized unscented Kalman filtering (GUKF) tracking algorithm. Energy efficient operation is achieved by imposing an energy balance criterion to select a subset of sensors near the target to participate in collaborative tracking without compromising tracking performance. This is formulated as a multiobjective constrained optimization problem that minimizes both the state covariance of the GUKF algorithm and the variance of on-board residue energy of sensor nodes within the detection range of the target. An efficient, distributed, polynomial time heuristic algorithm that achieves a performance close to the optimal solution is proposed. Extended simulation results indicate that this proposed joint scheduling and tracking algorithm is capable of delivering desired tracking performance while significantly extending the WSN lifespan.https://doi.org/10.1155/2013/179623 |
| spellingShingle | Xiaoqing Hu Ming Bao Yu-Hen Hu Bugong Xu Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN International Journal of Distributed Sensor Networks |
| title | Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN |
| title_full | Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN |
| title_fullStr | Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN |
| title_full_unstemmed | Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN |
| title_short | Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN |
| title_sort | energy balanced scheduling for target tracking with distance dependent measurement noise in a wsn |
| url | https://doi.org/10.1155/2013/179623 |
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