DocumentCode :
2616826
Title :
PTSA Event Scheduling Algorithm of CEP-Based RFID Tracking and Locating System
Author :
Zhang, Guangqian ; Zhang, Li ; Liu, Xin
Author_Institution :
Inst. of Syst. Eng. & Researching, Dalian Univ. of Technol., Dalian, China
Volume :
1
fYear :
2009
fDate :
21-22 May 2009
Firstpage :
98
Lastpage :
102
Abstract :
RFID-based tracking and locating system faces many challenges. In order to solve the problem, we build a model of RFID-based tracking and locating system which is based on complex event processing, that is BCEPS model. BCEPS model consists of physical device layer, RFID data processing layer, event processing engine, application layer, data storage layer. BCEPS model filters the RFID data which is gathered in real time and then generates RFID events. At the same time, BCEPS model responses to the requirement coming from users and then generates user events. RFID and user events are sent to event processing engine and are processed. Finally, results are returned to users. To enhance the efficiency of processing massive events and the real-time performance of system, we first propose and design the real-time event scheduling algorithm for event processing engine. Finally, we verify BCEPS model by implementing RFID-based tracking and locating system in underground mine.
Keywords :
radiofrequency identification; real-time systems; scheduling; signal processing; PTSA event scheduling algorithm; RFID data processing layer; RFID locating system; RFID tracking system; complex event processing; event processing engine; physical device layer; real time algorithm; underground mine; Algorithm design and analysis; Data processing; Engines; Filters; Memory; RFID tags; Radiofrequency identification; Real time systems; Scheduling algorithm; Systems engineering and theory; PTSA event scheduling; RFID; complex event processing; tracking and locating;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
Type :
conf
DOI :
10.1109/ICIC.2009.32
Filename :
5169549
Link To Document :
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