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Cited 31 time in webofscience Cited 44 time in scopus
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An energy-efficient load balancing scheme to extend lifetime in wireless sensor networks

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dc.contributor.authorKim, Hye-Young-
dc.date.available2020-07-10T06:12:46Z-
dc.date.created2020-07-06-
dc.date.issued2016-03-
dc.identifier.issn1386-7857-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/8057-
dc.description.abstractThe role of load balancing in wireless sensor networks is to provide a constant and reliable service. Applications with periodic data generation for wireless sensor networks require the maximum lifetime of the network. Most research imposes mainly on how to maximize the lifetime of the sensor nodes for the load balancing in order to performance and effeteness in the wireless sensor networks. Because the energy consumption is related to lifetime of the sensor nodes and the energy is a strictly limited resource in wireless sensor networks. Also, energy consumption optimization is required to synchronize the lifetime of the nodes with the whole network lifetime. For this reason, we address the lifetime maximization problem then we improves a novel load balancing scheme that balance the energy consumption of the sensor nodes and maximum network lifetime by load balancing applying the sub-network management in wireless sensor networks. Then, we propose a scheme using analytical models and compare the results with the previous researches. Our simulation result shows that the sensor nodes operate together for full network lifetime and it indicates maximum utilization of the usable energy of the wireless sensor network.-
dc.language영어-
dc.language.isoen-
dc.publisherSPRINGER-
dc.titleAn energy-efficient load balancing scheme to extend lifetime in wireless sensor networks-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Hye-Young-
dc.identifier.doi10.1007/s10586-015-0526-9-
dc.identifier.scopusid2-s2.0-84953383037-
dc.identifier.wosid000373179800022-
dc.identifier.bibliographicCitationCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, v.19, no.1, pp.279 - 283-
dc.relation.isPartOfCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS-
dc.citation.titleCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS-
dc.citation.volume19-
dc.citation.number1-
dc.citation.startPage279-
dc.citation.endPage283-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.subject.keywordAuthorBalancing-
dc.subject.keywordAuthorLifetime-
dc.subject.keywordAuthorWireless sensor networks-
dc.subject.keywordAuthorSub-networks management-
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