Distributed adaptive quantization and estimation for wireless sensor networks

IEEE Signal Processing Letters

Volumn 14, Issue 10, 2007, Pages 669-672

  Li, Hongbin ^a   Fang, Jun ^a  

^a Stevens Institute of Technology   (United States)

Author keywords

Adaptive quantization; Distributed estimation; Wireless sensor networks

Indexed keywords

ALGORITHMS; BANDWIDTH; CRAMER-RAO BOUNDS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION;

ADAPTIVE QUANTIZATION; DISTRIBUTED ESTIMATION;

WIRELESS SENSOR NETWORKS;

EID: 34548733125     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2007.896390     Document Type: Article

References (7)

1. J. Gubner, "Distributed estimation and quantization," IEEE Trans. Inf. Theory, vol. 39, no. 7, pp. 1456-1459, Jul. 1993.
2. V. Megalooikonomou and Y. Yesha, "Quantizer design for distributed estimation with communication constraints and unknown observation statistics," IEEE Trans. Commun., vol. 48, no. 2, pp. 181-184, Feb. 2000.
3. H. Papadopoulos, G. Wornell, and A. Oppenheim, "Sequential signal encoding from noisy measurements using quantizers with dynamic bias control," IEEE Trans. Inf. Theory, vol. 47, no. 3, pp. 978-1002, Mar. 2001.
4. A. Ribeiro and G. Giannakis, "Bandwidth-constrained distributed estimation for wireless sensor networks, Part I Gaussian PDF," IEEE Trans. Signal Process., vol. 54, no. 3, pp. 1131-1143, Mar. 2006.
5. Z. Luo, "Universal decentralized estimation in a bandwidth constrained sensor network," IEEE Trans. Inf. Theory, vol. 51, no. 6, pp. 2210-2219, Jun. 2005.
6. J.-J. Xiao and Z.-Q. Luo, "Decentralized estimation in an inhomogeneous sensing environment," IEEE Trans. Inf. Theory, vol. 51, no. 10, pp. 3564-3575, Oct. 2005.
7. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Upper Saddle River, NJ: Prentice-Hall, 1993.