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Distributed Group Management in Sensor Networks: Algorithms and Applications to Localization and Tracking

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Abstract

The tradeoff between performance and scalability is a fundamental issue in distributed sensor networks. In this paper, we propose a novel scheme to efficiently organize and utilize network resources for target localization. Motivated by the essential role of geographic proximity in sensing, sensors are organized into geographically local collaborative groups. In a target tracking context, we present a dynamic group management method to initiate and maintain multiple tracks in a distributed manner. Collaborative groups are formed, each responsible for tracking a single target. The sensor nodes within a group coordinate their behavior using geographically-limited message passing. Mechanisms such as these for managing local collaborations are essential building blocks for scalable sensor network applications.

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References

  1. J. Chen, R. Hudson and K. Yao, Joint maximum-likelihood source localization and unknown sensor location estimation for near-field wideband signals, Proceedings of the SPIE 4474 (2001).

  2. M. Chu, H. Haussecker and F. Zhao, Scalable information-driven sensor querying and routing for ad hoc heterogeneous sensor networks, International Journal of High-Performance Computing Applications 16(3) (2002).

  3. Q. Fang, F. Zhao and L. Guibas, Couting targets: Building and managing aggregates in wireless sensor networks, in: Proc. of the 4th ACM Internat. Symposium on Mobile Ad Hoc Networking and Computing (Mobihoc'03), Annapolis, MD, USA, 2003.

  4. L.E. Kinsler, A.R. Frey, A.B. Coppens and J.V. Sanders, Fundamentals of Acoustics (Wiley, New York, 1999).

    Google Scholar 

  5. Y.-B. Ko and N.H. Vaidya, Geocasting in mobile ad hoc networks: Location-based multicast algorithms, in: Proc. of IEEE Workshop on Mobile Computer Systems and Applications, New Orleans, 1999.

  6. D. Li, K. Wong, Y.H. Hu and A. Sayeed, Detection, classification, and tracking of targets, IEEE Signal Processing Magazine (2002) 17–29.

  7. J. Liu, J.E. Reich and F. Zhao, Collaborative in-network processing for target tracking, EURASIP, Journal on Applied Signal Processing 4 (2003) 378–391.

    Google Scholar 

  8. V. Poor, An Introduction to Signal Detection and Estimation, 2nd ed. (Springer, New York, 1994).

    Google Scholar 

  9. H. Stark and J.W. Woods, Probability, Random Processes, and Estimation Theory for Engineers, 2nd ed. (Prentice-Hall, Upper Saddle River, NJ, 1994).

    Google Scholar 

  10. USC/ISI, SCADDS diffusion 3.1.2, developped by USC Information Science Institute, available on http://www.isi.edu/scadds/software (2002).

  11. Y. Yu, R. Govindan and D. Estrin, Geographical and energy aware routing: A recursive data desemination protocol for wireless sensor networks, Technical Report UCLA/CSD-TR-01-0023, UCLA Computer Science Department (2001).

  12. F. Zhao, J. Shin and J. Reich, Information-driven dynamic sensor collaboration, IEEE Signal Processing Magazine 19(2) (2002) 61–72.

    Google Scholar 

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Correspondence to Juan Liu.

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Liu, J., Liu, J., Reich, J. et al. Distributed Group Management in Sensor Networks: Algorithms and Applications to Localization and Tracking. Telecommunication Systems 26, 235–251 (2004). https://doi.org/10.1023/B:TELS.0000029041.37854.92

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  • DOI: https://doi.org/10.1023/B:TELS.0000029041.37854.92

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