Bandwidth-constrained MAP estimation for wireless sensor networks

S. Faisal Ali Shah, Alejandro Ribeiro, Georgios B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

We deal with distributed parameter estimation algorithms for use in wireless sensor networks (WSNs) with a fusion center when only quantized observations are available due to power/bandwidth constraints. The main goal of the paper is to design efficient estimators when the parameter can be modelled as random with a priori information. In particular, we develop maximum a posteriori (MAP) estimators for distributed parameter estimation and formulate the problem under different scenarios. We show that the pertinent objective function is concave and hence, the corresponding MAP estimator can be obtained efficiently through simple numerical maximization algorithms.

Original languageEnglish (US)
Title of host publicationConference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
Pages215-219
Number of pages5
StatePublished - Dec 1 2005
Event39th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Oct 28 2005Nov 1 2005

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2005
ISSN (Print)1058-6393

Other

Other39th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period10/28/0511/1/05

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    Faisal Ali Shah, S., Ribeiro, A., & Giannakis, G. B. (2005). Bandwidth-constrained MAP estimation for wireless sensor networks. In Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers (pp. 215-219). [1599735] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2005).