| 有源传感网络中目标跟踪的传感器调度方法 |
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| 引用本文： | 肖文栋, 吴健康, 谢立华, 董梁. 有源传感网络中目标跟踪的传感器调度方法. 自动化学报, 2006, 32(6): 922-928. |
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| 作者姓名： | 肖文栋 吴健康 谢立华 董梁 |
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| 作者单位： | 1.Media Processing Department, Institute for Infocomm Research, Singapore 119613, SingaporeGraduate School, Chinese Academy of Sciences, Beijing 100049;;2.School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798 |
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| 基金项目： | Supported by Science ＆ Engineering Research Council of Singnpore （0521010037） |
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| 摘 要： | Wireless sensor network (WSN) of active sensors suffers from serious inter-sensor interference (ISI) and imposes new design and implementation challenges. In this paper, based on the ultrasonic sensor network, two time-division based distributed sensor scheduling schemes are proposed to deal with ISI by scheduling sensors periodically and adaptively respectively. Extended Kalman filter (EKF) is used as the tracking algorithm in distributed manner. Simulation results show that the adaptive sensor scheduling scheme can achieve superior tracking accuracy with faster tracking convergence speed.
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| 关 键 词： | Wireless sensor network sensor scheduling target tracking active sensor |
| 收稿时间： | 2006-01-12 |
| 修稿时间： | 2006-04-02 |
Sensor Scheduling for Target Tracking in Networks of Active Sensors |
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| XIAO Wen-Dong, WU Jian-Kang, XIE Li-Hua, DONG Liang. Sensor Scheduling for Target Tracking in Networks of Active Sensors. ACTA AUTOMATICA SINICA, 2006, 32(6): 922-928. |
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| Authors: | XIAO Wen-Dong WU Jian-Kang XIE Li-Hua DONG Liang |
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| Affiliation: | 1. Media Processing Department, Institute for Infocomm Research, Singapore 119613, SingaporeGraduate School, Chinese Academy of Sciences, Beijing 100049School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798 |
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| Abstract: | Wireless sensor network (WSN) of active sensors suffers from serious inter-sensor interference (ISI) and imposes new design and implementation challenges. In this paper, based on the ultrasonic sensor network, two time-division based distributed sensor scheduling schemes are proposed to deal with ISI by scheduling sensors periodically and adaptively respectively. Extended Kalman filter (EKF) is used as the tracking algorithm in distributed manner. Simulation results show that the adaptive sensor scheduling scheme can achieve superior tracking accuracy with faster tracking convergence speed. |
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| Keywords: | Wireless sensor network sensor scheduling target tracking active sensor |
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