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Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach

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dc.creator Massawe, Libe Valentine
dc.creator Kinyua, Johnson D. M.
dc.creator Vermaak, Herman
dc.date 2016-01-29T12:58:24Z
dc.date 2016-01-29T12:58:24Z
dc.date 2012
dc.date.accessioned 2018-04-18T11:49:30Z
dc.date.available 2018-04-18T11:49:30Z
dc.identifier 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.
dc.identifier 1424-8220
dc.identifier doi:10.3390/s120404187
dc.identifier http://hdl.handle.net/123456789/228
dc.identifier.uri http://hdl.handle.net/123456789/9941
dc.description 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.
dc.description German Academic Exchange Service DAAD, South Africa NRF
dc.language en
dc.publisher sensors
dc.subject data filtering
dc.subject data cleaning
dc.subject RFID
dc.subject RFID middleware
dc.subject sliding-window filter
dc.title Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach
dc.type Journal Article


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