How to implement doubly-stochastic matrices for consensus-based distributed algorithms
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
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.
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