Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm

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dc.contributor.authorKim, Hyunseokko
dc.contributor.authorChang, Seongjuko
dc.contributor.authorKim, Jinsulko
dc.date.accessioned2016-04-05T15:33:46Z-
dc.date.available2016-04-05T15:33:46Z-
dc.date.created2014-06-17-
dc.date.created2014-06-17-
dc.date.issued2014-
dc.identifier.citationINTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS-
dc.identifier.issn1550-1329-
dc.identifier.urihttp://hdl.handle.net/10203/202794-
dc.description.abstractThis paper explores the possibility of enhancing consensus achievement of decentralized sensors by establishing cooperative behavior between sensor agents. To these ends, a novel particle swarm optimization framework to achieve robust consensus of decentralized sensors is devised to distribute sensing information via local fusing with neighbors rather than through centralized control; the new framework showed a 16.5 percent improvement in consensus achievement as compared to the classic majority rule method. Noteworthy enhancements in consensus achievement are also pertinent to the comparable situation of decentralized sensor systems.-
dc.languageEnglish-
dc.publisherHINDAWI PUBLISHING CORPORATION-
dc.subjectNETWORKS-
dc.subjectSYSTEMS-
dc.titleConsensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm-
dc.typeArticle-
dc.identifier.wosid000335681900001-
dc.identifier.scopusid2-s2.0-84900993032-
dc.type.rimsART-
dc.citation.publicationnameINTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS-
dc.identifier.doi10.1155/2014/950683-
dc.contributor.nonIdAuthorKim, Hyunseok-
dc.contributor.nonIdAuthorKim, Jinsul-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordPlusNETWORKS-
dc.subject.keywordPlusSYSTEMS-
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