Distributed Aggregate Function Estimation by Biphasically Configured Metropolis-Hasting Weight Model

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dc.contributor.authorKenyeres, Martin
dc.contributor.authorKenyeres, Jozef
dc.contributor.authorSkorpil, Vladislav
dc.contributor.authorBurget, Radim
dc.coverage.issue2cs
dc.coverage.volume26cs
dc.date.accessioned2017-07-25T08:20:36Z
dc.date.available2017-07-25T08:20:36Z
dc.date.issued2017-06cs
dc.description.abstractAn energy-efficient estimation of an aggregate function can significantly optimize a global event detection or monitoring in wireless sensor networks. This is probably the main reason why an optimization of the complementary consensus algorithms is one of the key challenges of the lifetime extension of the wireless sensor networks on which the attention of many scientists is paid. In this paper, we introduce an optimized weight model for the average consensus algorithm. It is called the Biphasically configured Metropolis-Hasting weight model and is based on a modification of the Metropolis-Hasting weight model by rephrasing the initial configuration into two parts. The first one is the default configuration of the Metropolis-Hasting weight model, while, the other one is based on a recalculation of the weights allocated to the adjacent nodes’ incoming values at the cost of decreasing the value of the weights of the inner states. The whole initial configuration is executed in a fully-distributed manner. In the experimental section, it is proven that our optimized weight model significantly optimizes the Metropolis-Hasting weight model in several aspects and achieves better results compared with other concurrent weight models.en
dc.formattextcs
dc.format.extent479-495cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2017 vol. 26, č. 2, s. 479-495. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2017.0479en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/69266
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2017/17_02_0479_0495.pdfcs
dc.rightsCreative Commons Attribution 4.0 International Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectDistributed computingen
dc.subjectaggregate functionen
dc.subjectaverage consensus algorithmen
dc.subjectmetropolis-hasting weight modelen
dc.subjectwireless sensor networksen
dc.titleDistributed Aggregate Function Estimation by Biphasically Configured Metropolis-Hasting Weight Modelen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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