Power constrained distributed estimation over noisy channels in WSNs

Jun Fang, Hongbin Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We consider distributed estimation of a random scalar parameter in a wireless sensor network (WSN), where, by employing a simple uncoded analog amplify-and-forward transmission scheme, the measurements are sent from the sensors to the fusion center (FC) over noisy wireless channels. Under a total transmission power constraint, we study the power allocation among the sensors to minimize the estimation mean-square error (MSE) at the FC. We present an effective solution which allows for correlated sensor observations. Numerical results are presented to illustrate the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationCISS 2008, The 42nd Annual Conference on Information Sciences and Systems
Pages1053-1057
Number of pages5
DOIs
StatePublished - 2008
EventCISS 2008, 42nd Annual Conference on Information Sciences and Systems - Princeton, NJ, United States
Duration: 19 Mar 200821 Mar 2008

Publication series

NameCISS 2008, The 42nd Annual Conference on Information Sciences and Systems

Conference

ConferenceCISS 2008, 42nd Annual Conference on Information Sciences and Systems
Country/TerritoryUnited States
CityPrinceton, NJ
Period19/03/0821/03/08

Keywords

  • Distributed estimation
  • Power allocation
  • Wireless sensor networks (WSNs)

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