A new method for data redundancy reduction in RFID middleware

Recently, with rapidly increasing the development of RFID applications, the RFID Middleware becomes a very hot topic. RFID middleware is a new breed of application software which facilitates data communication between automatic identification equipments (like RFID readers) and enterprise applications. RFID data, however, contains false readings and duplicates. Such data cannot be used directly by applications unless they are filtered and cleaned. To compensate for the inherent unreliability of RFID data streams, most RFID middleware systems employ a “smoothing filtering”. In this paper, a new “smoothing filtering” approach is proposed which is based on the concept of saving the status of tag´s readings. The proposed method uses some rules for solving false positives and false negatives to provide accurate RFID data for applications. The simulation results on prototype data show the effectiveness of the proposed method.