Model Based Peer-to-peer Estimation on Wireless Sensor Netowrks
2012 (English)In: Estimation and Control of Networked Systems: Vol. 3, Part. 3, 2012, 19-24 p.Conference paper (Refereed)
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
Distributed estimation, Fast-Lipschitz Optimization, Wireless Sensor Networks, Parallel and Distributed Computation
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-104665DOI: 10.3182/20120914-2-US-4030.00053ScopusID: 2-s2.0-84880966318ISBN: 978-390282322-9OAI: oai:DiVA.org:kth-104665DiVA: 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 201211122012-11-122012-11-082013-10-25Bibliographically approved