Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework
Optimizing the design of tracking system under energy and bandwidth constraints in wireless sensor networks (WSN) is of paramount importance. In this paper, the problem of collaborative target tracking in WSNs is considered in a framework of quantized measurement fusion. First, the measurement in ea...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-02-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/682032 |
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| _version_ | 1832547913891315712 |
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| author | Yan Zhou Dongli Wang Tingrui Pei Yonghong Lan |
| author_facet | Yan Zhou Dongli Wang Tingrui Pei Yonghong Lan |
| author_sort | Yan Zhou |
| collection | DOAJ |
| description | Optimizing the design of tracking system under energy and bandwidth constraints in wireless sensor networks (WSN) is of paramount importance. In this paper, the problem of collaborative target tracking in WSNs is considered in a framework of quantized measurement fusion. First, the measurement in each local sensor is quantized by probabilistic quantization scheme and transmitted to a fusion center (FC). Then, the quantized messages are fused and sequential importance resampling (SIR) particle filtering is employed to estimate the target state. In the FC, quantized measurement fusion via both augmented approach and weighted approach is investigated. For both approaches, the closed-form solution to the optimization problem of bandwidth scheduling is given, where the total energy consumption is minimized subject to a constraint on the fusion performance. Finally, posterior Cramer-Rao lower bounds (CRLBs) on the tracking accuracy using quantized measurement fusion are derived. Simulation results reveal that both approaches perform very closely to the posterior CRLB while obtaining average communication energy saving up to 72.8% and 45.1%, respectively. |
| format | Article |
| id | doaj-art-516c6b9b12bf4d1cb5abced7aac5e2ec |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-516c6b9b12bf4d1cb5abced7aac5e2ec2025-02-03T06:42:59ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-02-011010.1155/2014/682032682032Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion FrameworkYan Zhou0Dongli Wang1Tingrui Pei2Yonghong Lan3 Key Laboratory of Intelligent Computing & Information Processing of MOE, Xiangtan University, Xiangtan 411105, China College of Information Engineering, Xiangtan University, Xiangtan 411105, China College of Information Engineering, Xiangtan University, Xiangtan 411105, China College of Information Engineering, Xiangtan University, Xiangtan 411105, ChinaOptimizing the design of tracking system under energy and bandwidth constraints in wireless sensor networks (WSN) is of paramount importance. In this paper, the problem of collaborative target tracking in WSNs is considered in a framework of quantized measurement fusion. First, the measurement in each local sensor is quantized by probabilistic quantization scheme and transmitted to a fusion center (FC). Then, the quantized messages are fused and sequential importance resampling (SIR) particle filtering is employed to estimate the target state. In the FC, quantized measurement fusion via both augmented approach and weighted approach is investigated. For both approaches, the closed-form solution to the optimization problem of bandwidth scheduling is given, where the total energy consumption is minimized subject to a constraint on the fusion performance. Finally, posterior Cramer-Rao lower bounds (CRLBs) on the tracking accuracy using quantized measurement fusion are derived. Simulation results reveal that both approaches perform very closely to the posterior CRLB while obtaining average communication energy saving up to 72.8% and 45.1%, respectively.https://doi.org/10.1155/2014/682032 |
| spellingShingle | Yan Zhou Dongli Wang Tingrui Pei Yonghong Lan Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework International Journal of Distributed Sensor Networks |
| title | Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework |
| title_full | Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework |
| title_fullStr | Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework |
| title_full_unstemmed | Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework |
| title_short | Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework |
| title_sort | energy efficient target tracking in wireless sensor networks a quantized measurement fusion framework |
| url | https://doi.org/10.1155/2014/682032 |
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