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Model Based Peer-to-peer Estimation on Wireless Sensor Netowrks
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9810-3478
United Technologies Research Center.
2012 (English)In: Estimation and Control of Networked Systems: Vol. 3, Part. 3, 2012, 19-24 p.Conference paper (Refereed)
Abstract [en]

A peer-to-peer estimator computes local estimates at each node by combining the information from neighboring nodes without the need of central coordination. Although more flexible and scalable, peer-to-peer minimum variance estimators are difficult to design because of message losses and lack of network coordination. In this paper, we propose a new peer-to-peer estimator that allows to recover a time-varying scalar signal from measurements corrupted by an unknown non-zero mean independent noise or disturbances. Message losses occurring over the network and absence of central coordination are considered. Novel theoretical solutions are developed by taking advantage of a model of the signal dynamics. The proposed approach simultaneously guarantees a bounded mean value and minimum variance of the estimation error. Simulation results illustrate the performance of the proposed method.

Place, publisher, year, edition, pages
2012. 19-24 p.
, IFAC Proceedings Volumes (IFAC-PapersOnline), ISSN 1474-6670
Keyword [en]
Distributed estimation, Fast-Lipschitz Optimization, Wireless Sensor Networks, Parallel and Distributed Computation
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-104665DOI: 10.3182/20120914-2-US-4030.00053ScopusID: 2-s2.0-84880966318ISBN: 978-390282322-9OAI: diva2:566374
3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems, NECSYS 2012; Santa Barbara, CA; United States; 14 September 2012 through 15 September 2012

QC 20121112

Available from: 2012-11-12 Created: 2012-11-08 Last updated: 2013-10-25Bibliographically approved

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