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dc.contributor.authorPupunwiwat, Prapassaraen_US
dc.contributor.authorDarcy, Peteren_US
dc.contributor.authorStantic, Belaen_US
dc.date.accessioned2017-05-03T11:26:39Z
dc.date.available2017-05-03T11:26:39Z
dc.date.issued2011en_US
dc.date.modified2012-06-12T22:40:05Z
dc.identifier.issn18770509en_US
dc.identifier.doi10.1016/j.procs.2011.07.114en_US
dc.identifier.urihttp://hdl.handle.net/10072/43606
dc.description.abstractRadio Frequency Identification (RFID) uses wireless radio frequency technology to automatically identify tagged objects. Despite the extensive development of RFID technology, tag collisions still remains a major drawback. The collision issue can be solved by using anti-collision techniques. While existing research has focused on improving anti-collision methods alone, it is also essential that a suitable type of anti-collision algorithm is selected for the specific circumstance. In this work, we evaluate anti-collision techniques and perform a comparative analysis in order to find the advantages and disadvantages of each approach. To identify the best anti-collision selection method in various scenarios, we have proposed two strategies for selective anti-collision technique management: a "Novel Decision Tree Strategy" and a "Six Thinking Hats Strategy". We have shown that the selection of the correct technique for specific scenarios improve the quality of the data collection which, in turn, will increase the integrity of the data after being transformed, aggregated, and used for event processing.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent244783 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.publisher.placeNetherlandsen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom827en_US
dc.relation.ispartofpageto834en_US
dc.relation.ispartofjournalProcedia Computer Scienceen_US
dc.relation.ispartofvolume5en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchData Format not elsewhere classifieden_US
dc.subject.fieldofresearchcode080499en_US
dc.titleConceptual Selective RFID Anti-Collision Technique Managementen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 2011 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.en_US
gro.date.issued2011
gro.hasfulltextFull Text


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