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Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and Paths

In this paper, we compare six known linear distributed average consensus algorithms on a sensor network in terms of convergence time (and therefore, in terms of the number of transmissions required). The selected network topologies for the analysis (comparison) are the cycle and the path. Specifical...

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Autores principales: Gutiérrez-Gutiérrez, Jesús, Zárraga-Rodríguez, Marta, Insausti, Xabier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948538/
https://www.ncbi.nlm.nih.gov/pubmed/29587373
http://dx.doi.org/10.3390/s18040968
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author Gutiérrez-Gutiérrez, Jesús
Zárraga-Rodríguez, Marta
Insausti, Xabier
author_facet Gutiérrez-Gutiérrez, Jesús
Zárraga-Rodríguez, Marta
Insausti, Xabier
author_sort Gutiérrez-Gutiérrez, Jesús
collection PubMed
description In this paper, we compare six known linear distributed average consensus algorithms on a sensor network in terms of convergence time (and therefore, in terms of the number of transmissions required). The selected network topologies for the analysis (comparison) are the cycle and the path. Specifically, in the present paper, we compute closed-form expressions for the convergence time of four known deterministic algorithms and closed-form bounds for the convergence time of two known randomized algorithms on cycles and paths. Moreover, we also compute a closed-form expression for the convergence time of the fastest deterministic algorithm considered on grids.
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spelling pubmed-59485382018-05-17 Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and Paths Gutiérrez-Gutiérrez, Jesús Zárraga-Rodríguez, Marta Insausti, Xabier Sensors (Basel) Article In this paper, we compare six known linear distributed average consensus algorithms on a sensor network in terms of convergence time (and therefore, in terms of the number of transmissions required). The selected network topologies for the analysis (comparison) are the cycle and the path. Specifically, in the present paper, we compute closed-form expressions for the convergence time of four known deterministic algorithms and closed-form bounds for the convergence time of two known randomized algorithms on cycles and paths. Moreover, we also compute a closed-form expression for the convergence time of the fastest deterministic algorithm considered on grids. MDPI 2018-03-24 /pmc/articles/PMC5948538/ /pubmed/29587373 http://dx.doi.org/10.3390/s18040968 Text en © 2018 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Gutiérrez-Gutiérrez, Jesús
Zárraga-Rodríguez, Marta
Insausti, Xabier
Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and Paths
title Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and Paths
title_full Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and Paths
title_fullStr Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and Paths
title_full_unstemmed Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and Paths
title_short Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and Paths
title_sort analysis of known linear distributed average consensus algorithms on cycles and paths
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948538/
https://www.ncbi.nlm.nih.gov/pubmed/29587373
http://dx.doi.org/10.3390/s18040968
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