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Conference Paper: A P2P collaborative RFID data cleaning model

TitleA P2P collaborative RFID data cleaning model
Authors
KeywordsComputer Networks
Data Processing
Grid Computing
Logistics
Military Operations
Predictive Control Systems
Radio Navigation
Supply Chains
Issue Date2008
Citation
Proceedings - 3Rd International Conference On Grid And Pervasive Computing Symposia/Workshops, Gpc 2008, 2008, p. 304-309 How to Cite?
Abstract
RFID emerges to be one of the key technologies to modernize Logistics and supply chain management. In a typical RFID enabled logistics and supply chain application, there exist RFID readers to detect and identify the goods with RFID tags attached. Considering the huge amount of goods, the successful reading of RFID data becomes a crucial issue. Many algorithms and models to improve the RFID reading have been proposed, yet most of them focus on addressing the problem in a single reading node. In this paper, we introduce a P2P model to identify and remove inaccurate reading of RFID data by utilizing the information exchanged among related nodes along the business processing route of each RFID tagged item. The successful deployment of this model will ease the demand for high accurate reading of each RFID reading node while reducing the total cost of the RFID network. Our simulation shows the RFID network correct function against the business requirements will be ensured while the overall performance of the RFID network can be guaranteed. © 2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/92822
References

 

Author Affiliations
  1. Shenzhen University
  2. The University of Hong Kong
DC FieldValueLanguage
dc.contributor.authorPeng, Xen_HK
dc.contributor.authorJi, Zen_HK
dc.contributor.authorLuo, Zen_HK
dc.contributor.authorWong, ECen_HK
dc.contributor.authorTan, CJen_HK
dc.date.accessioned2010-09-17T10:58:20Z-
dc.date.available2010-09-17T10:58:20Z-
dc.date.issued2008en_HK
dc.identifier.citationProceedings - 3Rd International Conference On Grid And Pervasive Computing Symposia/Workshops, Gpc 2008, 2008, p. 304-309en_HK
dc.identifier.urihttp://hdl.handle.net/10722/92822-
dc.description.abstractRFID emerges to be one of the key technologies to modernize Logistics and supply chain management. In a typical RFID enabled logistics and supply chain application, there exist RFID readers to detect and identify the goods with RFID tags attached. Considering the huge amount of goods, the successful reading of RFID data becomes a crucial issue. Many algorithms and models to improve the RFID reading have been proposed, yet most of them focus on addressing the problem in a single reading node. In this paper, we introduce a P2P model to identify and remove inaccurate reading of RFID data by utilizing the information exchanged among related nodes along the business processing route of each RFID tagged item. The successful deployment of this model will ease the demand for high accurate reading of each RFID reading node while reducing the total cost of the RFID network. Our simulation shows the RFID network correct function against the business requirements will be ensured while the overall performance of the RFID network can be guaranteed. © 2008 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofProceedings - 3rd International Conference on Grid and Pervasive Computing Symposia/Workshops, GPC 2008en_HK
dc.subjectComputer Networksen_HK
dc.subjectData Processingen_HK
dc.subjectGrid Computingen_HK
dc.subjectLogisticsen_HK
dc.subjectMilitary Operationsen_HK
dc.subjectPredictive Control Systemsen_HK
dc.subjectRadio Navigationen_HK
dc.subjectSupply Chainsen_HK
dc.titleA P2P collaborative RFID data cleaning modelen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailTan, CJ: ctan@eti.hku.hken_HK
dc.identifier.authorityTan, CJ=rp01379en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/GPC.WORKSHOPS.2008.12en_HK
dc.identifier.scopuseid_2-s2.0-50649094275en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-50649094275&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage304en_HK
dc.identifier.epage309en_HK
dc.identifier.scopusauthoridPeng, X=24822529300en_HK
dc.identifier.scopusauthoridJi, Z=34770465400en_HK
dc.identifier.scopusauthoridLuo, Z=22433447600en_HK
dc.identifier.scopusauthoridWong, EC=23480883400en_HK
dc.identifier.scopusauthoridTan, CJ=22981715400en_HK

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