Title :
A P2P Collaborative RFID Data Cleaning Model
Author :
Peng, Xiaogang ; Ji, Zhen ; Luo, Zongwei ; Wong, Edward C. ; Tan, C.J.
Author_Institution :
Software Coll., Shenzhen Univ., Shenzhen
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.
Keywords :
data integrity; logistics data processing; peer-to-peer computing; radiofrequency identification; supply chain management; business processing; logistics; peer-to-peer collaborative RFID data cleaning model; supply chain management; Cleaning; Collaboration; Collaborative software; Costs; Logistics; Pervasive computing; RFID tags; Radiofrequency identification; Supply chain management; Supply chains; Data cleaning; P2P; RFID;
Conference_Titel :
Grid and Pervasive Computing Workshops, 2008. GPC Workshops '08. The 3rd International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-0-7695-3177-9
DOI :
10.1109/GPC.WORKSHOPS.2008.12