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Collaborative tracking via particle filter in wireless sensor networks

  • Published:
Journal of Electronics (China)

Abstract

Target tracking is one of the main applications of wireless sensor networks. Optimized computation and energy dissipation are critical requirements to save the limited resource of the sensor nodes. A framework and analysis for collaborative tracking via particle filter are presented in this paper. Collaborative tracking is implemented through sensor selection, and results of tracking are propagated among sensor nodes. In order to save communication resources, a new Gaussian sum particle filter, called Gaussian sum quasi particle filter, to perform the target tracking is presented, in which only mean and covariance of mixands need to be communicated. Based on the Gaussian sum quasi particle filter, a sensor selection criterion is proposed, which is computationally much simpler than other sensor selection criterions. Simulation results show that the proposed method works well for target tracking.

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Authors and Affiliations

  1. Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Zhenya Yan, Baoyu Zheng & Shitang Li

  2. School of Mathematics & Computer Science, Fujian Normal University, Fuzhou, 350007, China

    Li Xu & Shitang Li

Authors
  1. Zhenya Yan
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  2. Baoyu Zheng
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  3. Li Xu
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  4. Shitang Li
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Corresponding author

Correspondence to Zhenya Yan.

Additional information

Supported by the National Natural Science Foundation of China (No. 60372107), Ph.D. Innovation Program of Jiangsu Province (No. 200670), Major Science Foundation of Jiangsu Province (BK2007729), and Major Science Foundation of Jiangsu Universities (06KJ510001).

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Yan, Z., Zheng, B., Xu, L. et al. Collaborative tracking via particle filter in wireless sensor networks. J. Electron.(China) 25, 311–318 (2008). https://doi.org/10.1007/s11767-006-0277-0

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  • DOI: https://doi.org/10.1007/s11767-006-0277-0

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