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Conference Paper: A P2P collaborative RFID data cleaning model
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TitleA P2P collaborative RFID data cleaning model
 
AuthorsPeng, X1
Ji, Z1
Luo, Z2
Wong, EC2
Tan, CJ2
 
KeywordsComputer Networks
Data Processing
Grid Computing
Logistics
Military Operations
Predictive Control Systems
Radio Navigation
Supply Chains
 
Issue Date2008
 
CitationProceedings - 3Rd International Conference On Grid And Pervasive Computing Symposia/Workshops, Gpc 2008, 2008, p. 304-309 [How to Cite?]
DOI: http://dx.doi.org/10.1109/GPC.WORKSHOPS.2008.12
 
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.
 
DOIhttp://dx.doi.org/10.1109/GPC.WORKSHOPS.2008.12
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorPeng, X
 
dc.contributor.authorJi, Z
 
dc.contributor.authorLuo, Z
 
dc.contributor.authorWong, EC
 
dc.contributor.authorTan, CJ
 
dc.date.accessioned2010-09-17T10:58:20Z
 
dc.date.available2010-09-17T10:58:20Z
 
dc.date.issued2008
 
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.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationProceedings - 3Rd International Conference On Grid And Pervasive Computing Symposia/Workshops, Gpc 2008, 2008, p. 304-309 [How to Cite?]
DOI: http://dx.doi.org/10.1109/GPC.WORKSHOPS.2008.12
 
dc.identifier.doihttp://dx.doi.org/10.1109/GPC.WORKSHOPS.2008.12
 
dc.identifier.epage309
 
dc.identifier.scopuseid_2-s2.0-50649094275
 
dc.identifier.spage304
 
dc.identifier.urihttp://hdl.handle.net/10722/92822
 
dc.languageeng
 
dc.relation.ispartofProceedings - 3rd International Conference on Grid and Pervasive Computing Symposia/Workshops, GPC 2008
 
dc.relation.referencesReferences in Scopus
 
dc.subjectComputer Networks
 
dc.subjectData Processing
 
dc.subjectGrid Computing
 
dc.subjectLogistics
 
dc.subjectMilitary Operations
 
dc.subjectPredictive Control Systems
 
dc.subjectRadio Navigation
 
dc.subjectSupply Chains
 
dc.titleA P2P collaborative RFID data cleaning model
 
dc.typeConference_Paper
 
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Author Affiliations
  1. Shenzhen University
  2. The University of Hong Kong