Self-Construction of Aggregation Tree for Gathering Mobile Data in Wireless Sensor Network

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dc.contributor.authorLee, Sangbinko
dc.contributor.authorKim, SongMinko
dc.contributor.authorKim, Sungjunko
dc.contributor.authorKo, Doohyunko
dc.contributor.authorAn, Sunshinko
dc.date.accessioned2019-03-04T10:56:45Z-
dc.date.available2019-03-04T10:56:45Z-
dc.date.created2019-03-04-
dc.date.issued2010-05-
dc.identifier.citationIEICE TRANSACTIONS ON COMMUNICATIONS, v.E93B, pp.1264 - 1267-
dc.identifier.issn0916-8516-
dc.identifier.urihttp://hdl.handle.net/10203/250526-
dc.description.abstractA network of sensors can be used to obtain state based data from the area in which they are deployed. To reduce costs, the data sent via intermediate sensors to a sink are often aggregated. In this letter, we introduce Self-Construction of Aggregation Tree (SCAT) scheme which uses a novel data aggregation scheme utilizing the knowledge of the mobile node and the infrastructure (static node tree) in gathering the data from the mobile node. The static nodes can construct a near- optimal aggregation tree by themselves, using the knowledge of the mobile node, which is a process similar to forming the centralized aggregation tree.-
dc.languageEnglish-
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.titleSelf-Construction of Aggregation Tree for Gathering Mobile Data in Wireless Sensor Network-
dc.typeArticle-
dc.identifier.wosid000281342500025-
dc.identifier.scopusid2-s2.0-77951800980-
dc.type.rimsART-
dc.citation.volumeE93B-
dc.citation.beginningpage1264-
dc.citation.endingpage1267-
dc.citation.publicationnameIEICE TRANSACTIONS ON COMMUNICATIONS-
dc.identifier.doi10.1587/transcom.E93.B.1264-
dc.contributor.localauthorKim, SongMin-
dc.contributor.nonIdAuthorLee, Sangbin-
dc.contributor.nonIdAuthorKim, Sungjun-
dc.contributor.nonIdAuthorKo, Doohyun-
dc.contributor.nonIdAuthorAn, Sunshin-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthormobile data aggregation-
dc.subject.keywordAuthorprediction-
dc.subject.keywordAuthorself- construction of tree-
dc.subject.keywordAuthorsensor networks-
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