Distributed Group Management in Sensor Networks: Algorithms and Applications to Localization and Tracking
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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.
- 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).
- 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).
- 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.
- Kinsler, L.E., Frey, A.R., Coppens, A.B., Sanders, J.V. (1999) Fundamentals of Acoustics. Wiley, New York
- 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.
- D. Li, K. Wong, Y.H. Hu and A. Sayeed, Detection, classification, and tracking of targets, IEEE Signal Processing Magazine (2002) 17–29.
- Liu, J., Reich, J.E., Zhao, F. (2003) Collaborative in-network processing for target tracking. EURASIP, Journal on Applied Signal Processing 4: pp. 378-391
- Poor, V. (1994) An Introduction to Signal Detection and Estimation. Springer, New York
- Stark, H., Woods, J.W. (1994) Probability, Random Processes, and Estimation Theory for Engineers. Prentice-Hall, Upper Saddle River, NJ
- USC/ISI, SCADDS diffusion 3.1.2, developped by USC Information Science Institute, available on http://www.isi.edu/scadds/software (2002).
- 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).
- Zhao, F., Shin, J., Reich, J. (2002) Information-driven dynamic sensor collaboration. IEEE Signal Processing Magazine 19: pp. 61-72
- Distributed Group Management in Sensor Networks: Algorithms and Applications to Localization and Tracking
Volume 26, Issue 2-4 , pp 235-251
- Cover Date
- Print ISSN
- Online ISSN
- Kluwer Academic Publishers
- Additional Links
- Group management
- target localization
- target tracking
- collaborative information processing
- distributed sensor network
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