How to implement doubly-stochastic matrices for consensus-based distributed algorithms
View/Open
How to Implement Doubly-Stochastic Matrices for Consensus-Based Distributed Algorithms (390,5Kb) (Restricted access)
Request copy
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Document typeConference report
Defense date2014
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
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. © 2014 IEEE.
CitationValcarcel, S. [et al.]. How to implement doubly-stochastic matrices for consensus-based distributed algorithms. A: IEEE Sensor Array and Multichannel Signal Processing Workshop. "2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) took place June 22-25, 2014 in A Coruña, Spain". Coruña: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 333-336.
ISBN978-1-4799-1481-4
Publisher versionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6882409
Files | Description | Size | Format | View |
---|---|---|---|---|
How to Implemen ... tochastic Matrices for.pdf![]() | How to Implement Doubly-Stochastic Matrices for Consensus-Based Distributed Algorithms | 390,5Kb | Restricted access |
All rights reserved. This work is protected by the corresponding intellectual and industrial
property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public
communication or transformation of this work are prohibited without permission of the copyright holder