the distributed convergence classifier using the finite difference

Clicks: 223
ID: 149223
2016
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Ranked #28 of 100 articles by views in molecular therapy : the journal of the american society of gene therapy

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Abstract
The paper presents a novel distributed classifier of the convergence, which allows to detect the convergence/the divergence of a distributed converging algorithm. Since this classifier is supposed to be primarily applied in wireless sensor networks, its proposal makes provision for the character of these networks. The classifier is based on the mechanism of comparison of the forward finite differences from two consequent iterations. The convergence/the divergence is classifiable only in terms of the changes of the inner states of a particular node and therefore, no message redundancy is required for its proper functionality.
Reference Key
kenyeres2016radioengineeringthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;M. Kenyeres;J. Kenyeres;V. Skorpil
Journal molecular therapy : the journal of the american society of gene therapy
Year 2016
DOI
DOI not found
URL
http://www.radioeng.cz/fulltexts/2016/16_01_0148_0155.pdf
Keywords
Wireless sensor networks electronics nuclear engineering

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