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Cited 1 time in webofscience Cited 3 time in scopus
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Localized approximation method using inertial compensation in WSNs

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dc.contributor.authorSong, C.-
dc.contributor.authorChung, K.-
dc.contributor.authorJung, Jason J.-
dc.contributor.authorRim, K.-
dc.contributor.authorLee, J.-
dc.date.available2020-03-27T07:54:36Z-
dc.date.issued2011-
dc.identifier.issn1860-949X-
dc.identifier.issn1860-9503-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37755-
dc.description.abstractSensor nodes in a wireless sensor network establish a network based on location information, set a communication path to the sink for data collection, and have the characteristic of limited hardware resources such as battery, data processing capacity, and memory. The method of estimating location information using GPS is convenient, but it is relatively inefficient because additional costs accrue depending on the size of space. In the past, several approaches including range-based and range-free have been proposed to calculate positions for randomly deployed sensor nodes. Most of them use some special nodes called anchor nodes, which are assumed to know their own locations. Other sensors compute their locations based on the information provided by these anchor nodes. This paper uses a single mobile anchor node to move in the sensing field and broadcast its current position periodically. We provide a weighted centroid localization algorithm that uses coefficients, which are decided by the influence of mobile anchor node to unknown nodes, to prompt localization accuracy. In addition, this study lowered the error rate resulting from difference in response time by adding reliability for calculating and compensating detailed location information using inertia. © 2011 Springer-Verlag Berlin Heidelberg.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleLocalized approximation method using inertial compensation in WSNs-
dc.typeArticle-
dc.identifier.doi10.1007/978-3-642-19953-0_25-
dc.identifier.bibliographicCitationStudies in Computational Intelligence, v.351, pp 247 - 255-
dc.description.isOpenAccessN-
dc.identifier.wosid000292221400025-
dc.identifier.scopusid2-s2.0-79953183014-
dc.citation.endPage255-
dc.citation.startPage247-
dc.citation.titleStudies in Computational Intelligence-
dc.citation.volume351-
dc.type.docTypeArticle-
dc.publisher.location독일-
dc.subject.keywordAuthorInertial-
dc.subject.keywordAuthorLocalization Accuracy-
dc.subject.keywordAuthorWireless Sensor Networks-
dc.relation.journalResearchAreaComputer Science, Artificial Intelligence-
dc.relation.journalResearchAreaComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science-
dc.description.journalRegisteredClassscopus-
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소프트웨어대학 (소프트웨어학부)
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