Analysis of known linear distributed average consensus algorithms on cycles and paths
Keywords: 
Average consensus algorithms
Distributed computation
Sensor networks
Convergence time
Number of transmissions
Issue Date: 
2018
Publisher: 
MDPI AG
ISSN: 
1424-8220
Note: 
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/).
Citation: 
Gutiérrez-Gutiérrez, J. (Jesús); Zárraga-Rodríguez, M. (Marta); Insausti-Sarasola, X. (Xabier). "Analysis of known linear distributed average consensus algorithms on cycles and paths". Sensors. 18 (4), 2018, 968
Abstract
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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