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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Main Authors: Jesús Gutiérrez-Gutiérrez, Marta Zárraga-Rodríguez, Xabier Insausti
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/4/968
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author Jesús Gutiérrez-Gutiérrez
Marta Zárraga-Rodríguez
Xabier Insausti
author_facet Jesús Gutiérrez-Gutiérrez
Marta Zárraga-Rodríguez
Xabier Insausti
author_sort Jesús Gutiérrez-Gutiérrez
collection DOAJ
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 doaj.art-0573062b3c9340d0902090d1f990d0d52022-12-22T02:10:21ZengMDPI AGSensors1424-82202018-03-0118496810.3390/s18040968s18040968Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and PathsJesús Gutiérrez-Gutiérrez0Marta Zárraga-Rodríguez1Xabier Insausti2Department of Biomedical Engineering and Sciences, Tecnun, University of Navarra, Manuel Lardizábal 13, 20018 San Sebastián, SpainDepartment of Biomedical Engineering and Sciences, Tecnun, University of Navarra, Manuel Lardizábal 13, 20018 San Sebastián, SpainDepartment of Biomedical Engineering and Sciences, Tecnun, University of Navarra, Manuel Lardizábal 13, 20018 San Sebastián, SpainIn 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.http://www.mdpi.com/1424-8220/18/4/968average consensus algorithmsdistributed computationsensor networksconvergence timenumber of transmissions
spellingShingle Jesús Gutiérrez-Gutiérrez
Marta Zárraga-Rodríguez
Xabier Insausti
Analysis of Known Linear Distributed Average Consensus Algorithms on Cycles and Paths
Sensors
average consensus algorithms
distributed computation
sensor networks
convergence time
number of transmissions
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 average consensus algorithms
distributed computation
sensor networks
convergence time
number of transmissions
url http://www.mdpi.com/1424-8220/18/4/968
work_keys_str_mv AT jesusgutierrezgutierrez analysisofknownlineardistributedaverageconsensusalgorithmsoncyclesandpaths
AT martazarragarodriguez analysisofknownlineardistributedaverageconsensusalgorithmsoncyclesandpaths
AT xabierinsausti analysisofknownlineardistributedaverageconsensusalgorithmsoncyclesandpaths