Consensus-based distributed least-mean square algorithm using wireless ad hoc network

Gonzalo Mateos, Ioannis D. Schizas, Georgios B Giannakis

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

8 Scopus citations

Abstract

We deal with online estimation and tracking of (non)stationary signals using ad hoc wireless sensor networks (WSNs). A fully distributed least-mean square (D-LMS) type of algorithm is presented, which offers simplicity and flexibility whilst solely requiring single-hop communications among sensors. The algorithm entails the minimization of a pertinent cost function by resorting to: (i) the alternating-direction method of multipliers so as to gain the desired degree of parallelization and, (ii) stochastic approximation ideas to cope with the unavailability of statistical information. First-order convergence analysis is provided whereas mean-square sense (mss) convergence is corroborated via simulations, even in the presence of additive reception noise.

Original languageEnglish (US)
Title of host publication45th Annual Allerton Conference on Communication, Control, and Computing 2007
PublisherUniversity of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering
Pages568-574
Number of pages7
ISBN (Electronic)9781605600864
StatePublished - Jan 1 2007
Event45th Annual Allerton Conference on Communication, Control, and Computing 2007 - Monticello, United States
Duration: Sep 26 2007Sep 28 2007

Publication series

Name45th Annual Allerton Conference on Communication, Control, and Computing 2007
Volume1

Other

Other45th Annual Allerton Conference on Communication, Control, and Computing 2007
CountryUnited States
CityMonticello
Period9/26/079/28/07

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