Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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, Published 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.
Series
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
Identifiers
URN: urn:nbn:se:kth:diva-104665DOI: 10.3182/20120914-2-US-4030.00053Scopus ID: 2-s2.0-84880966318ISBN: 978-390282322-9 (print)OAI: oai:DiVA.org:kth-104665DiVA: diva2:566374
Conference
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
Note

QC 20121112

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

Open Access in DiVA

fulltext(212 kB)251 downloads
File information
File name FULLTEXT01.pdfFile size 212 kBChecksum SHA-512
f053856f8e5f5b870448541815fae1aea48267a61c3de275e764a4ce6d6ccd75b787519c1937a8f569946c6d4b10e25f9f2f02c926b113e0a6baee355711a825
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopusConference website

Authority records BETA

Fischione, Carlo

Search in DiVA

By author/editor
Xu, YuzheFischione, Carlo
By organisation
Automatic ControlACCESS Linnaeus Centre
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 251 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 176 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf