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dc.contributor.authorKenyeres, M.
dc.contributor.authorKenyeres, J.
dc.contributor.authorSkorpil, V.
dc.date.accessioned2016-04-20T06:25:36Z
dc.date.available2016-04-20T06:25:36Z
dc.date.issued2016-04cs
dc.identifier.citationRadioengineering. 2016 vol. 25, č. 1, s. 148-155. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/57921
dc.description.abstractThe 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.en
dc.formattextcs
dc.format.extent148-155cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2016/16_01_0061_0066.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectDistributed computingen
dc.subjectwireless sensor networksen
dc.subjectaverage consensusen
dc.subjectdistributed classifieren
dc.titleThe Distributed Convergence Classifier Using the Finite Differenceen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue1cs
dc.coverage.volume25cs
dc.identifier.doi10.13164/re.2016.0148en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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