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Distributed drift estimation for time synchronization in lossy networks
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-9940-5929
2016 (English)In: 24th Mediterranean Conference on Control and Automation, MED 2016, Institute of Electrical and Electronics Engineers (IEEE), 2016, 779-784 p.Conference paper, Published paper (Refereed)
Abstract [en]

Two distributed asynchronous drift estimation algorithms for time synchronization in networks with random communication delays and measurement noise are proposed. The algorithms are superior to similar existing methods. Convergence of the algorithms to consensus in the mean square sense and w.p.1 is proved. Rate of convergence of the algorithms is analyzed. It is also shown that the algorithms can be applied as flooding algorithms, with one reference node. Illustrative simulation results are also given.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 779-784 p.
Keyword [en]
Control, Drift estimations, Flooding algorithms, Lossy networks, Measurement Noise, Random communication delay, Rate of convergence, Reference nodes, Time synchronization, Algorithms
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-194987DOI: 10.1109/MED.2016.7535942ISI: 000391154900130Scopus ID: 2-s2.0-84986222557ISBN: 9781467383455 (print)OAI: oai:DiVA.org:kth-194987DiVA: diva2:1044382
Conference
24th Mediterranean Conference on Control and Automation, MED 2016, 21 June 2016 through 24 June 2016
Note

QC 20161103

Available from: 2016-11-03 Created: 2016-11-01 Last updated: 2017-04-07Bibliographically approved

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