Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105541
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dc.contributorDepartment of Computing-
dc.creatorZhu, Wen_US
dc.creatorLi, Men_US
dc.creatorCao, Jen_US
dc.creatorCui, Xen_US
dc.date.accessioned2024-04-15T07:34:56Z-
dc.date.available2024-04-15T07:34:56Z-
dc.identifier.isbn978-1-7281-3106-1 (Electronic)en_US
dc.identifier.isbn978-1-7281-3107-8 (Print on Demand(PoD))en_US
dc.identifier.urihttp://hdl.handle.net/10397/105541-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication W. Zhu, M. Li, J. Cao and X. Cui, "An Adapted RFID Anti-collision Algorithm in a Dynamic Environment," 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea (South), 2020, pp. 1-6 is available at https://doi.org/10.1109/WCNC45663.2020.9120658.en_US
dc.subjectAnti-collisionen_US
dc.subjectDynamic environmenten_US
dc.subjectRFIDen_US
dc.subjectThreshold estimationen_US
dc.titleAn adapted RFID anti-collision algorithm in a dynamic environmenten_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/WCNC45663.2020.9120658en_US
dcterms.abstractIn recent decades, radio frequency identification (RFID) has been used in many applications in the world. Tag anti-collision is a fundamental technique for RFID, for solving the collisions when multiple RFID tags transmit their IDs to an RFID reader simultaneously. This technique is well investigated in the stationary environment, however, has some deficiencies when the number of tags in the interrogation region of the reader changes dramatically. This paper proposes a tag anti-collision algorithm called TAD to solve this problem. TAD can effectively and fast estimate the number of arriving and leaving tags, and automatically adapt to different changes of the tags using a hybrid method. The simulation results show that TAD significantly outperforms existing approaches in the situation with many leaving tags.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2020 IEEE Wireless Communications and Networking Conference (WCNC), 25 - 28 May 2020, Seoul, Korea (South), 9120658en_US
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85087278300-
dc.relation.conferenceIEEE Wireless Communications and Networking Conference [WCNC]-
dc.identifier.artn9120658en_US
dc.description.validate202402 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCOMP-0347-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key R&D Program of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS43660933-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Conference Paper
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