© 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.
Chapter 7. Distributed Estimation under Bandwidth and Energy Constraints†
- Ananthram Swami3,
- Qing Zhao4,
- Yao-Win Hong5,
- Lang Tong6
Published Online: 2 OCT 2007
DOI: 10.1002/9780470061794.ch7
Copyright © 2007 John Wiley & Sons, Ltd
Book Title

Wireless Sensor Networks: Signal Processing and Communications Perspectives
Additional Information
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
- 3
Army Research Laboratory, PO Box 4640, Silver Spring, MD 20914-4640, USA
- 4
Department of Electrical and Computer Engineering, University of California Davis, Davis, CA 95616, USA
- 5
101 Section 2 Kuang-Fu Rd., National Tsing Hua University, EECS Building 620B, Hsinchu, 30013, Taiwan
- 6
School of Electrical and Computer Engineering, Center for Applied Mathematics, 384 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853, USA
- †
Publication History
- Published Online: 2 OCT 2007
- Published Print: 5 OCT 2007
ISBN Information
Print ISBN: 9780470035573
Online ISBN: 9780470061794
- Summary
- Chapter
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
