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Enhanced Message-Passing Based LEACH Protocol for Wireless Sensor Networks

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dc.contributor.authorKang, Jaeyoung-
dc.contributor.authorSohn, Illsoo-
dc.contributor.authorLee, Sang Hyun-
dc.date.accessioned2021-09-01T21:43:15Z-
dc.date.available2021-09-01T21:43:15Z-
dc.date.created2021-06-19-
dc.date.issued2019-01-01-
dc.identifier.issn1424-8220-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/68370-
dc.description.abstractThis paper proposes a distributed energy-efficient clustering protocol for wireless sensor networks (WSNs). Based on low-energy adaptive clustering hierarchy (LEACH) protocol, the proposed LEACH-eXtended Message-Passing (LEACH-XMP) substantially improves a cluster formation algorithm, which is critical for WSN operations. Unlike the previous approaches, a realistic non-linear energy consumption model is considered, which renders the clustering optimization highly nonlinear and challenging. To this end, a state-of-the-art message-passing approach is introduced to develop an efficient distributed algorithm. The main benefits of the proposed technique are its inherent nature of a distributed algorithm and the saving of computational load imposed for each node. Thus, it proves useful for a practical deployment. In addition, the proposed algorithm rapidly converges to a very accurate solution within a few iterations. Simulation results ensure that the proposed LEACH-XMP maximizes the network lifetime and outperforms existing techniques consistently.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMDPI-
dc.subjectEFFICIENT-
dc.titleEnhanced Message-Passing Based LEACH Protocol for Wireless Sensor Networks-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Sang Hyun-
dc.identifier.doi10.3390/s19010075-
dc.identifier.scopusid2-s2.0-85059118468-
dc.identifier.wosid000458574600075-
dc.identifier.bibliographicCitationSENSORS, v.19, no.1-
dc.relation.isPartOfSENSORS-
dc.citation.titleSENSORS-
dc.citation.volume19-
dc.citation.number1-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.subject.keywordPlusEFFICIENT-
dc.subject.keywordAuthorLEACH-
dc.subject.keywordAuthormessage passing-
dc.subject.keywordAuthornonlinear power consumption-
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