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A Novel Complex Event Mining Network for Monitoring RFID-Enable Application

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3 Author(s)
Tao Ku ; Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang ; Yunlong Zhu ; KunYuan Hu

This paper presents a novel complex event mining network (CEMN) and defines the fundamentals of radio-frequency identification (RFID)-enabled supply chain event management and discusses how an complex event processing (CEP) can be used to resolve the underlying architecture challenges and complexities of integrating real-time decision support into the supply chain. The proposed CEP architecture is a distributed event processing networks (EPNs) capable middleware infrastructure which enables automatic and real-time routing, caching, filtering, aggregation and processing of RFID events. It provides a global platform for distributed execution and management of RFID-enabled supply chain data. It enables a federated control over supply chain nodes deployed in many different organizations, respecting diverse security requirements while supporting centralized deployment and management of processes and rules. Finally, a distributed complex event detection algorithm based on master-workers pattern is proposed to detect complex events and trigger correlation actions. The results showed that our proposed approach has more robust and scaleable in large-scale RFID applications.

Published in:

Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on  (Volume:2 )

Date of Conference:

19-20 Dec. 2008