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How to implement doubly-stochastic matrices for consensus-based distributed algorithms
Citation
Valcarcel Macua, Sergio and Moreno León, Carlos and Romero, Jhoan Samuel and Silva Pereira, Silvana and Zazo, Javier and Pagés Zamora, Alba and López Valcarce, Roberto and Zazo Bello, Santiago (2014). How to implement doubly-stochastic matrices for consensus-based distributed algorithms. In: "978-1-4799-1481-4", 22/06/2014 - 25/06/2014, A Coruña, Spain. pp. 333-336. https://doi.org/10.1109/SAM.2014.6882409.
Description
| Title: | How to implement doubly-stochastic matrices for consensus-based distributed algorithms |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | 978-1-4799-1481-4 |
| Event Dates: | 22/06/2014 - 25/06/2014 |
| Event Location: | A Coruña, Spain |
| Title of Book: | 8th Sensor Array and Multichannel Signal Processing Workshop (SAM) |
| Date: | June 2014 |
| Subjects: | |
| Freetext Keywords: | Consensus, Contiki OS, distributed algorithms, robust estimation, wireless sensor network |
| Faculty: | E.T.S.I. Telecomunicación (UPM) |
| Department: | Señales, Sistemas y Radiocomunicaciones |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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.
More information
| Item ID: | 46917 |
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| DC Identifier: | http://oa.upm.es/46917/ |
| OAI Identifier: | oai:oa.upm.es:46917 |
| DOI: | 10.1109/SAM.2014.6882409 |
| Official URL: | http://ieeexplore.ieee.org/document/6882409/ |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 21 Jun 2017 15:26 |
| Last Modified: | 21 Jun 2017 15:26 |
