The Distributed Convergence Classifier Using the Finite Difference
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Date
2016-04
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Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
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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.
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Citation
Radioengineering. 2016 vol. 25, č. 1, s. 148-155. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2016/16_01_0061_0066.pdf
http://www.radioeng.cz/fulltexts/2016/16_01_0061_0066.pdf
Document type
Peer-reviewed
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Published version
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en