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Entropy 2014, 16(5), 2820-2838; doi:10.3390/e16052820

Randomized Binary Consensus with Faulty Agents

1
Institute of Networked and Embedded Systems, University of Klagenfurt, Lakeside B02a Klagenfurt, Austria
2
Department of Naval, Electric, Electronic and Telecommunication Engineering, University of Genoa, Via Opera Pia 11a Genoa, Italy
*
Author to whom correspondence should be addressed.
Received: 30 January 2014 / Revised: 7 May 2014 / Accepted: 13 May 2014 / Published: 21 May 2014
(This article belongs to the Special Issue Entropy Methods in Guided Self-Organization)
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Abstract

This paper investigates self-organizing binary majority consensus disturbed by faulty nodes with random and persistent failure. We study consensus in ordered and random networks with noise, message loss and delays. Using computer simulations, we show that: (1) explicit randomization by noise, message loss and topology can increase robustness towards faulty nodes; (2) commonly-used faulty nodes with random failure inhibit consensus less than faulty nodes with persistent failure; and (3) in some cases, such randomly failing faulty nodes can even promote agreement.
Keywords: binary consensus; randomized consensus; self-organizing systems; faulty agents; Byzantine failure; density classification binary consensus; randomized consensus; self-organizing systems; faulty agents; Byzantine failure; density classification
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Gogolev, A.; Marcenaro, L. Randomized Binary Consensus with Faulty Agents. Entropy 2014, 16, 2820-2838.

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