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Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach
School of Electrical and Computer Systems Engineering, Central University of Technology, Free State, Bloemfontein 9301, South Africa
School of Computer and Information Systems, Virginia International University, Fairfax, VA 22030, USA
* Author to whom correspondence should be addressed.
Received: 18 February 2012; in revised form: 16 March 2012 / Accepted: 21 March 2012 / Published: 28 March 2012
Abstract: Unreliability of the data streams generated by RFID readers is among the primary factors which limit the widespread adoption of the RFID technology. RFID data cleaning is, therefore, an essential task in the RFID middleware systems in order to reduce reading errors, and to allow these data streams to be used to make a correct interpretation and analysis of the physical world they are representing. In this paper we propose an adaptive sliding-window based approach called WSTD which is capable of efficiently coping with both environmental variation and tag dynamics. Our experimental results demonstrate the efficacy of the proposed approach.
Keywords: data filtering; data cleaning; RFID; RFID middleware; sliding-window filter
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Massawe, L.V.; Kinyua, J.D.M.; Vermaak, H. Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach. Sensors 2012, 12, 4187-4212.
Massawe LV, Kinyua JDM, Vermaak H. Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach. Sensors. 2012; 12(4):4187-4212.
Massawe, Libe Valentine; Kinyua, Johnson D. M.; Vermaak, Herman. 2012. "Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach." Sensors 12, no. 4: 4187-4212.