| Multi-target tracking algorithm based on adaptive sampling interval in wireless sensor networks |
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| 作者姓名： | WANG Jianping ZHAO Gaoli HU Mengjie and CHEN Wei |
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| 作者单位： | Henan Institute of Science and Technology, Henan, Xinxiang 453003, China; Wuhan University of Technology, Wuhan 430070, China,Henan Institute of Science and Technology, Henan, Xinxiang 453003, China; Wuhan University of Technology, Wuhan 430071, China,Henan Institute of Science and Technology, Henan, Xinxiang 453003, China; Wuhan University of Technology, Wuhan 430072, China and Wuhan University of Technology, Wuhan 430070, China |
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| 摘 要： | Multi-target tracking is a hot topic of current research on wireless sensor networks (WSN). Based on adaptive sampling interval, we propose a multi-target tracking algorithm in order to save energy consumption and prevent tracking lost for WSN. We contrast the targets moving model by using the position metadata, and predicte the targets moving status based on extended Kalman filter (EKF).we adopt the probability density function (PDF) of the estimated targets to establish the tracking cluster. By defining the tracking center, we use Markov distance to quantify the election process of the main node (MN). We comput targets impact strength through the targets importance and the distance to MN node, and then use it to build tracking algorithm. We do the simulation experiment based on MATLAB, and the experiment results show that the proposed algorithm can accurate predict the trajectory of the targets, and adjust the sampling interval while the targets were moving. By analyzing the experiments data, we know that the proposed algorithm can improve the tracking precision and save the energy consumption of WSN obviously.
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| 关 键 词： | multi-target tracking algorithm wireless sensor networks Markov distance extended kalman filter (EKF) probability density function (PDF) tracking cluster |
| 收稿时间： | 2014/7/11 0:00:00 |
Multi-target tracking algorithm based on adaptive sampling interval in wireless sensor networks |
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| WANG Jianping,ZHAO Gaoli,HU Mengjie and CHEN Wei.Multi-target tracking algorithm based on adaptive sampling interval in wireless sensor networks[J].Storage & Process,2014(9):92-99. |
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| Authors: | WANG Jianping ZHAO Gaoli HU Mengjie and CHEN Wei |
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| Institution: | Henan Institute of Science and Technology, Henan, Xinxiang 453003, China; Wuhan University of Technology, Wuhan 430070, China,Henan Institute of Science and Technology, Henan, Xinxiang 453003, China; Wuhan University of Technology, Wuhan 430071, China,Henan Institute of Science and Technology, Henan, Xinxiang 453003, China; Wuhan University of Technology, Wuhan 430072, China and Wuhan University of Technology, Wuhan 430070, China |
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| Abstract: | Multi-target tracking is a hot topic of current research on wireless sensor networks (WSN). Based on adaptive sampling interval, we propose a multi-target tracking algorithm in order to save energy consumption and prevent tracking lost for WSN. We contrast the targets moving model by using the position metadata, and predicte the targets moving status based on extended Kalman filter (EKF).we adopt the probability density function (PDF) of the estimated targets to establish the tracking cluster. By defining the tracking center, we use Markov distance to quantify the election process of the main node (MN). We comput targets impact strength through the targets importance and the distance to MN node, and then use it to build tracking algorithm. We do the simulation experiment based on MATLAB, and the experiment results show that the proposed algorithm can accurate predict the trajectory of the targets, and adjust the sampling interval while the targets were moving. By analyzing the experiments data, we know that the proposed algorithm can improve the tracking precision and save the energy consumption of WSN obviously. |
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| Keywords: | multi-target tracking algorithm wireless sensor networks Markov distance extended kalman filter (EKF) probability density function (PDF) tracking cluster |
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