Distortion-rate analysis for distributed estimation with wireless sensor networksy

Ioannis D. Schizas, Georgios B Giannakis, Nihar Jindal

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

4 Scopus citations

Abstract

We deal with centralized and distributed rate-constrained estimation of random signal vectors using a network of wireless sensors communicating with a fusion center. Specifically, we determine lower and upper bounds for the Distortion-Rate (D-R) function. The lower bound is obtained by considering centralized estimation with a single-sensor setup, for which we determine the D-R function in closed-form, and specify an estimator that achieves it. Furthermore, we derive a novel alternating scheme that numerically determines an achievable upper bound of the D-R function for general distributed estimation using multiple sensors. Numerical examples confirm that the algorithm performs well and yields D-R upper bounds which are tight.

Original languageEnglish (US)
Title of host publication43rd Annual Allerton Conference on Communication, Control and Computing 2005
PublisherUniversity of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering
Pages876-885
Number of pages10
ISBN (Electronic)9781604234916
StatePublished - Jan 1 2005
Event43rd Annual Allerton Conference on Communication, Control and Computing 2005 - Monticello, United States
Duration: Sep 28 2005Sep 30 2005

Publication series

Name43rd Annual Allerton Conference on Communication, Control and Computing 2005
Volume2

Other

Other43rd Annual Allerton Conference on Communication, Control and Computing 2005
CountryUnited States
CityMonticello
Period9/28/059/30/05

Keywords

  • Distortion-Rate Function
  • Distributed Estimation
  • Wireless Sensor Networks

Fingerprint Dive into the research topics of 'Distortion-rate analysis for distributed estimation with wireless sensor networksy'. Together they form a unique fingerprint.

Cite this