Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Dynamic Sensor Self-Organization for Distributive Moving Target Tracking

  • 112 Accesses

  • 10 Citations

Abstract

To support distributive tracking of moving targets in a wireless sensor network, sensors that receive signal from the same target must collaborate to facilitate collaborative, distributed target tracking. We present an efficient dynamic sensor self-organizing algorithm that clusters sensors into groups without requiring a centralized control. Extensive simulations are conducted to verify the performance improvement as well as the communication reduction for the proposed methods.

This is a preview of subscription content, log in to check access.

References

  1. 1.

    B. Spice, “Small Scale Tactics,” in Post-Gazette. Pittsburgh, PA, 2001, http://www.postgazette.com/healthscience/20010730antshealth2p2.asp.

  2. 2.

    D.J. Wood and B. Gray, “Toward a Comprehensive Theory of Collaboration,” J. Appl. Behav. Sci., vol. 27, 1991, pp. 139–149.

  3. 3.

    D. Li, K.D. Wong, Y.H. Hu and A.M. Sayeed, “Detection, Classification and Tracking of Targets,” IEEE Signal Process. Mag., vol. 19, 2002, pp. 17–29.

  4. 4.

    F. Zhao, J. Shin and J. Reich, “Information-driven Dynamic Sensor Collaboration,” IEEE Signal Process. Mag., vol. 19, 2002, pp. 61–72.

  5. 5.

    S. Kumar, F. Zhao and D. Shepherd, “Collaborative Signal and Information Processing in Micro-sensor Networks,” in IEEE Signal Processing Magazine, 2002, pp. 13–14.

  6. 6.

    D. Li and Y.H. Hu, “Energy-based Collaborative Source Localization Using Acoustic Micro-sensor Array,” EURASTP J. Appl. Signal Process., vol. 2003, 2003, pp. 321–337.

  7. 7.

    T. Clouqueur, P. Ramanathan, K.K. Saluja and K.-C. Wang, “Value-Fusion versus Decision-Fusion for Fault-Tolerance in Collaborative Target Detection in Sensor Networks,” Proc. Int’l Conf. on Information Fusion, 2001.

  8. 8.

    X. Sheng and Y.H. Hu, “Energy Based Acoustic Source Localization,” Proceedings of The 2nd International Workshop on Information Processing in Sensor Networks (IPSN ’03), 2003, pp. 285–300.

  9. 9.

    X. Sheng and Y.H. Hu, “Maximum Likelihood Wireless Sensor Network Source Localization Using Acoustic Signal Energy Measurements,” IEEE Trans. Signal Process., vol. 53, 2005, pp. 44–53.

  10. 10.

    T. Park and K.G. Shin, “Optimal Tradeoffs for Location-Based Routing in Large-scale Ad Hoc Networks,” ACM Transactions on Networking (TON), vol. 13, 2005, pp. 398–410.

  11. 11.

    Y.-C. Tseng, S.-L. Wu, W.-H. Liao and C.-M. Chao, “Location Awareness in Ad Hoc Wireless Mobile Networks,” IEEE Computer Magazine, vol. 34, 2001, pp. 46–52.

  12. 12.

    S.C. Douglas, “Blind Signal Separation and Blind De-convolution,” in Chapter 7 of Handbook of Neural Network Signal Processing, Y.H. Hu and J.N. Hwang (Eds.), Boca Raton, FL: CRC Press, 2002.

  13. 13.

    X. Sheng and Y.H. Hu, “Sequential Acoustic Energy Based Source Localization Using Particle Filter in Distributed Sensor Network,” Proc. ICASSP’04, 2004, pp. 972–975.

  14. 14.

    X. Sheng and Y.H. Hu, “Distributed Particle Filters for Wireless Sensor Network Target Tracking,” Proceedings ICASSP’05, 2005.

  15. 15.

    X. Sheng, Y.H. Hu and P. Ramanathan, “Distributed Particle Filter with GMM Approximation for Multiple Targets Localization and Tracking in Wireless Sensor Network,” Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN ’05), 2005.

Download references

Author information

Correspondence to Yu Hen Hu.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Hu, Y.H., Sheng, X. Dynamic Sensor Self-Organization for Distributive Moving Target Tracking. J Sign Process Syst Sign Image 51, 161–171 (2008). https://doi.org/10.1007/s11265-007-0104-3

Download citation

Keywords

  • wireless sensor network
  • self-organization
  • tasking
  • moving target track
  • dynamic sensor clustering
  • distributive algorithm