Formal Definition and Detection Algorithm for Passive Event in RFID Middleware

  • Authors:

  • Wei Ye;Wen Zhao;Yu Huang;Wenhui Hu;Shikun Zhang;Lifu Wang

  • Affiliations:

  • School of Electronics Engineering and Computer Science, Peking University, Beijing, China 100871 and National Engineering Research Center for Software Engineering, Peking University, Beijing, Chin ...;National Engineering Research Center for Software Engineering, Peking University, Beijing, China 100871 and Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, ...;National Engineering Research Center for Software Engineering, Peking University, Beijing, China 100871 and Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, ...;National Engineering Research Center for Software Engineering, Peking University, Beijing, China 100871 and Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, ...;National Engineering Research Center for Software Engineering, Peking University, Beijing, China 100871 and Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, ...;National Engineering Research Center for Software Engineering, Peking University, Beijing, China 100871 and Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, ...

  • Venue:
  • APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
  • Year:
  • 2009

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Abstract

In RFID middleware, passive event refers to one kind of composite event, some of whose constituent sub-events do not occur under certain condition. To process complex RFID business logic, we should be able to define a wide variety of passive event types and perform efficient event detection. In this paper, we design an event definition language which well supports specifying complex hierarchical passive event, and propose a detection algorithm with some optimization techniques for recognizing passive event. We finally compare our work with Esper in detection performance.