Title :
Rule-Matching Based Method for RFID Event Processing
Author :
Zhang, Chunkai ; Li, Cong
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
Abstract :
RFID is being gradually adopted and deployed in a wide area of applications and it generates massive RFID data. The purpose of the RFID event processing is to extract valuable information from the real-time and large volume RFID data. In this paper, we divide RFID event into RFID Simple Event and RFID Complex Event and apply different algorithms to process them because of their different characteristics. For RFID Simple Event, we use improved RETE which support temporal relation and reduce the space needed. And for RFID Complex Event, we use extended Petri Net-based algorithm which support multi objects and temporal relation. Finally, we have experiments for both of them to test their performance.
Keywords :
Petri nets; business data processing; data mining; radiofrequency identification; Petri net; RETE; RFID event processing; rule matching; Data mining; Event detection; Inspection; Middleware; Pattern matching; Radiofrequency identification; Real time systems; Petri Net; RETE; RFID event; temporal relation;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
DOI :
10.1109/ICGEC.2010.74