Consensus-based distributed parameter estimation in ad hoc wireless sensor networks with noisy links

Ioannis D. Schizas, Alejandro Ribeiro, Georgios B Giannakis

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

9 Scopus citations

Abstract

We deal with distributed estimation of deterministic vector parameters using ad hoc wireless sensor networks (WSNs). We cast the decentralized estimation problem as the solution of multiple convex optimization subproblems. Using the method of alternating multipliers we derive algorithms which are decomposable into a set of simpler tasks suitable for distributed implementation. Different from existing alternatives, our approach does not require knowing the desired estimator in closed-form thus allowing for distributed nonlinear estimation. Our algorithms have guaranteed convergence under ideal channel links, while they exhibit noise resilience provably established for the distributed best linear unbiased estimator (BLUE).

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesII849-II852
DOIs
StatePublished - Aug 6 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period4/15/074/20/07

Keywords

  • Distributed algorithms
  • Distributed estimation

Fingerprint Dive into the research topics of 'Consensus-based distributed parameter estimation in ad hoc wireless sensor networks with noisy links'. Together they form a unique fingerprint.

Cite this