Abstract

With the widespread usage of RFID technology, complex event processing becomes a very important part in RIFD system. In order to improve the working efficiency of the system and provide semantic results to the enterprise application, it is necessary to transform the raw RFID data into meaningful events. However the RFID data stream has unique features compared with the traditional data stream such as large volume and real-time processing. In this paper, we propose a complex event processing engine to deal with the large volume of RFID data based on data stream management system. Moreover, a query language and a model for detecting RFID complex events are also introduced.

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