Authors: Reza Javidan; Farahnaz Vahdati; Ahamd Faraahi
Addresses: Department of Computer Engineering and Information Technology, Shiraz University of Technology, Modarress Boulevard, Shiraz, Iran. ' Department of Information Technology and Communication Payamenoor University, Tehran, Iran ' Department of Information Technology and Communication, Payame Noor University, No. 35, Fallah Poor Alley, Nejatollahi Street, Tehran, Iran
Abstract: With rapidly increasing development of RFID (radio frequency identification) applications, the RFID middleware has become a very hot topic. RFID middleware is a new breed of application software which facilitates data communication between automatic identification equipments (such as RFID readers) and enterprise applications. RFID data, however, contain 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 filter’. In this paper, a new smoothing filter approach is proposed which is based on the concept of processing 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.
Keywords: RFID middleware; data redundancy; smoothing filters; data cleaning; data management; data filtering; radio frequency identification; RFID tag readings; false positives; false negatives.
International Journal of Radio Frequency Identification Technology and Applications, 2011 Vol.3 No.4, pp.260 - 284
Available online: 15 Nov 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article