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

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dc.contributor.authorMassawe, Libe Valentine
dc.contributor.authorKinyua, Johnson D. M.
dc.contributor.authorVermaak, Herman
dc.date.accessioned2016-01-29T12:58:24Z
dc.date.available2016-01-29T12:58:24Z
dc.date.issued2012
dc.description.abstractUnreliability 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.en_US
dc.description.sponsorshipGerman Academic Exchange Service DAAD, South Africa NRFen_US
dc.identifier.citationMassawe, 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.en_US
dc.identifier.issn1424-8220
dc.identifier.otherdoi:10.3390/s120404187
dc.identifier.urihttp://hdl.handle.net/123456789/228
dc.language.isoenen_US
dc.publishersensorsen_US
dc.subjectdata filteringen_US
dc.subjectdata cleaningen_US
dc.subjectRFIDen_US
dc.subjectRFID middlewareen_US
dc.subjectsliding-window filteren_US
dc.titleReducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approachen_US
dc.typeJournal Articleen_US
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