Memorias de investigación
Communications at congresses:
How to Implement Doubly-Stochastic Matrices for Consensus-Based Distributed Algorithm
Year:2014

Research Areas
  • Sensor networks,
  • Processing and signal analysis

Information
Abstract
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.
International
Si
Congress
IEEE 8th Sensor Array And Multichannel Signal Processing Workshop (SAM)
960
Place
A Coruña, España
Reviewers
Si
ISBN/ISSN
978-1-4799-1481-4
Start Date
22/06/2014
End Date
25/06/2014
From page
1
To page
4
Proceedings of the 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Aplicaciones del Procesado de Señal (GAPS)
  • Departamento: Señales, Sistemas y Radiocomunicaciones