TY - CONF
T1 - How to Implement Doubly-Stochastic Matrices for Consensus-Based Distributed Algorithms
T2 - IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Y1 - 2014
A1 - S. Valcárcel-Macua
A1 - C. Moreno-León
A1 - J. S. Romero
A1 - Silvana Silva Pereira
A1 - Javier Zazo
A1 - Alba Pagès-Zamora
A1 - R. López-Valcarce
A1 - S. Zazo
KW - compass
KW - dynacs
KW - wsn
AB -
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.
JF - IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
CY - A Coruña, Spain
ER -