Title
A distributed algorithm for average consensus on strongly connected weighted digraphs
Abstract
In this work we propose a distributed algorithm to solve the discrete-time average consensus problem on strongly connected weighted digraphs (SCWDs). The key idea is to couple the computation of the average with the estimation of the left eigenvector associated with the zero eigenvalue of the Laplacian matrix according to the protocol described in Qu et al. (2012). The major contribution is the removal of the requirement of the knowledge of the out-neighborhood of an agent, thus paving the way for a simple implementation based on a pure broadcast-based communication scheme.
Year
DOI
Venue
2014
10.1016/j.automatica.2013.12.026
Automatica
Keywords
Field
DocType
Average consensus,Directed graphs,Broadcast communication
Laplacian matrix,Broadcasting,Discrete mathematics,Combinatorics,Directed graph,Distributed algorithm,Strongly connected component,Eigenvalues and eigenvectors,Mathematics,Broadcast communication network,Computation
Journal
Volume
Issue
ISSN
50
3
0005-1098
Citations 
PageRank 
References 
14
0.91
13
Authors
4
Name
Order
Citations
PageRank
Attilio Priolo1364.78
Andrea Gasparri244741.42
Eduardo Montijano321422.27
Carlos Sagues4918.17