Distributed and collaborative estimation over wireless sensor networks
2006 (English)In: PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14: IEEE Conference on Decision and Control, IEEE , 2006, p. 1025-1030Conference paper, Published paper (Refereed)
Abstract [en]
A new distributed algorithm for cooperative estimation of a slowly time-varying signal using a wireless sensor network is presented. The estimate in each node is based on a so called consensus algorithm, which weights measurements and estimates of neighboring nodes. The algorithm is therefore scalable with the number of network nodes. It requires only limited information exchange between nodes and computations in each node. The weights are locally optimized based on a minimum variance criterion. Numerical results show that the proposed algorithm exhibits good performance compared to other distributed algorithms proposed in the literature.
Place, publisher, year, edition, pages
IEEE , 2006. p. 1025-1030
Series
IEEE Conference on Decision and Control, ISSN 0191-2216
Keywords [en]
Clocks, Collaboration, Contracts, Distributed algorithms, Noise measurement, Nonlinear filters, Signal processing algorithms, Synchronization, Target tracking, Wireless sensor networks
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-81367DOI: 10.1109/CDC.2006.377101ISI: 000252251606026Scopus ID: 2-s2.0-38549095286OAI: oai:DiVA.org:kth-81367DiVA, id: diva2:497371
Conference
IEEE CDC, San Diego, CA, USA
Note
© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
QC 20120216
2012-02-162012-02-102022-06-24Bibliographically approved