%0 Conference Paper
%B IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
%D 2014
%T How to Implement Doubly-Stochastic Matrices for Consensus-Based Distributed Algorithms
%A S. Valcárcel-Macua
%A C. Moreno-León
%A J. S. Romero
%A Silvana Silva Pereira
%A Javier Zazo
%A Alba Pagès-Zamora
%A R. López-Valcarce
%A S. Zazo
%K compass
%K dynacs
%K wsn
%X
Doubly-stochastic matrices are usually required by
consensus-based distributed algorithms. We propose a simple
and efficient protocol and present some guidelines for implementing
doubly-stochastic combination matrices even in noisy,
asynchronous and changing topology scenarios. The proposed
ideas are validated with the deployment of a wireless sensor
network, in which nodes run a distributed algorithm for robust
estimation in the presence of nodes with faulty sensors.
%B IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
%C A Coruña, Spain
%G eng
%R 10.1109/SAM.2014.6882409