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dc.contributor.convenorM. Palaniswami
dc.contributor.authorPupunwiwat, Prapassara
dc.contributor.authorStantic, Bela
dc.contributor.editorS. Marusic, M. Palaniswami, J. Gubbi, P. Corke
dc.date.accessioned2017-05-03T11:26:33Z
dc.date.available2017-05-03T11:26:33Z
dc.date.issued2010
dc.date.modified2012-09-02T23:18:54Z
dc.identifier.refurihttp://www.issnip.org/2010/
dc.identifier.doi10.1109/ISSNIP.2010.5706754
dc.identifier.urihttp://hdl.handle.net/10072/37333
dc.description.abstractRadio Frequency Identification (RFID) is a technology that incorporates the use of the electromagnetic spectrum to uniquely identify people or objects. RFID technology has major data stream issues caused by massive amounts of tags simultaneously being captured by the reader that results in collisions. This collision issue can be solved by using anti-collision methods. The current ALOHA-based methods suffer from insufficient performance, especially when a substantial number of tags are present within a reader zone. In this work, we propose a Modified Dynamic Framed-Slotted ALOHA (MDFSA) technique to maximise the performance efficiency and to reduce the total number of slots queried during the tag identification process. The MDFSA approach creates new tag grouping rules using particular equations according to the optimal efficiency obtained for a specific number of tags. In this study, we have demonstrated that our proposed method has maintained its efficiency above other existing approaches, and has the most effective performance.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent391118 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE
dc.publisher.placeBrisbane
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencenameSixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
dc.relation.ispartofconferencetitleProceedings of the 2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
dc.relation.ispartofdatefrom2010-12-07
dc.relation.ispartofdateto2010-12-10
dc.relation.ispartoflocationBrisbane, Australia
dc.rights.retentionY
dc.subject.fieldofresearchData engineering and data science
dc.subject.fieldofresearchcode460501
dc.titleResolving RFID Data Stream Collisions using Set-Based Approach
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.date.issued2010
gro.hasfulltextFull Text
gro.griffith.authorStantic, Bela


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    Contains papers delivered by Griffith authors at national and international conferences.

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