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Distributed size estimation of dynamic anonymous networks
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3245-4037
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: 0000-0001-9940-5929
2012 (English)In: 2012 IEEE 51st Annual Conference on Decision and Control (CDC), IEEE conference proceedings, 2012, 5221-5227 p.Conference paper, Published paper (Refereed)
Abstract [en]

We consider the problem of estimating the size of dynamic anonymous networks, motivated by network maintenance. The proposed algorithm is based on max-consensus information exchange protocols, and extends a previous algorithm for static anonymous networks. A regularization term is accounting for a-priori assumptions on the smoothness of the estimate, and we specifically consider quadratic regularization terms since they lead to closed-form solutions and intuitive design laws. We derive an explicit estimation scheme for a particular peer-to-peer service network, starting from its statistical model. To validate the accuracy of the algorithm, we perform numerical experiments and show how the algorithm can be implemented using finite precision arithmetics as well as small communication burdens

Place, publisher, year, edition, pages
IEEE conference proceedings, 2012. 5221-5227 p.
Series
IEEE Conference on Decision and Control. Proceedings, ISSN 0191-2216
Keyword [en]
anonymous networks, distributed estimation, dynamic networks, size estimation, sensor networks
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-111455DOI: 10.1109/CDC.2012.6425912ISI: 000327200405088Scopus ID: 2-s2.0-84874268840ISBN: 978-1-4673-2064-1 (print)OAI: oai:DiVA.org:kth-111455DiVA: diva2:586424
Conference
51st IEEE Conference on Decision and Control, CDC 2012; Maui, HI; United States; 10 December 2012 through 13 December 2012
Funder
EU, FP7, Seventh Framework ProgrammeSwedish Research CouncilKnut and Alice Wallenberg Foundation
Note

QC 20130116

Available from: 2013-02-15 Created: 2013-01-11 Last updated: 2013-12-19Bibliographically approved

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fulltext(568 kB)192 downloads
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Terelius, HåkanJohansson, Karl Henrik

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