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Chapter 7. Distributed Estimation under Bandwidth and Energy Constraints

  1. Ananthram Swami3,
  2. Qing Zhao4,
  3. Yao-Win Hong5,
  4. Lang Tong6
  1. Alejandro Ribeiro1,
  2. Ioannis D. Schizas1,
  3. Jin-Jun Xiao2,
  4. Georgios B. Giannakis1,
  5. Zhi-Quan Luo1

Published Online: 2 OCT 2007

DOI: 10.1002/9780470061794.ch7

Wireless Sensor Networks: Signal Processing and Communications Perspectives

Wireless Sensor Networks: Signal Processing and Communications Perspectives

How to Cite

Ribeiro, A., Schizas, I. D., Xiao, J.-J., Giannakis, G. B. and Luo, Z.-Q. (2007) Distributed Estimation under Bandwidth and Energy Constraints, in Wireless Sensor Networks: Signal Processing and Communications Perspectives (eds A. Swami, Q. Zhao, Y.-W. Hong and L. Tong), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470061794.ch7

Editor Information

  1. 3

    Army Research Laboratory, PO Box 4640, Silver Spring, MD 20914-4640, USA

  2. 4

    Department of Electrical and Computer Engineering, University of California Davis, Davis, CA 95616, USA

  3. 5

    101 Section 2 Kuang-Fu Rd., National Tsing Hua University, EECS Building 620B, Hsinchu, 30013, Taiwan

  4. 6

    School of Electrical and Computer Engineering, Center for Applied Mathematics, 384 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853, USA

Author Information

  1. 1

    Deptartment of Electrical and Computer Engineering, University of Minnesota, 200 Union Street SE, Minneapolis, MN 55455, USA

  2. 2

    Dept. of Electrical and Systems Engineering, Washington University, One Brookings Drive, St. Louis, MO 63130, USA

  1. © 2006 IEEE. Reprinted, with permission, from Distributed Learning in Wireless Sensor Networks by Joel B. Predd, Sanjeev R. Kulkarni and H. Vincent Poor, IEEE Signal Processing Magazine, Vol 23(4), 56–69pp, July 2006.

Publication History

  1. Published Online: 2 OCT 2007
  2. Published Print: 5 OCT 2007

ISBN Information

Print ISBN: 9780470035573

Online ISBN: 9780470061794

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Keywords:

  • distributed estimation using wireless sensor networks;
  • Cramér-Rao Lower Bound (CRLB);
  • complementary cumulative distribution function (CCDF);
  • distributed estimation under constraints;
  • Fisher Information Matrix (FIM);
  • Distortion-Rate (D-R) analysis;
  • unknown noise PDF

Summary

This chapter contains sections titled:

  • Distributed Quantization-Estimation

  • Maximum Likelihood Estimation

  • Unknown Noise pdf

  • Estimation of Vector Parameters

  • Maximum a Posteriori Probability Estimation

  • Dimensionality Reduction for Distributed Estimation

  • Distortion-Rate Analysis

  • Conclusion

  • Further Reading

  • Bibliography