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

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dc.creatorMassawe, Libe Valentine
dc.creatorKinyua, Johnson D. M.
dc.creatorVermaak, Herman
dc.date2016-01-29T12:58:24Z
dc.date2016-01-29T12:58:24Z
dc.date2012
dc.date.accessioned2018-03-27T08:52:20Z
dc.date.available2018-03-27T08:52:20Z
dc.descriptionUnreliability 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.descriptionGerman Academic Exchange Service DAAD, South Africa NRF
dc.identifierMassawe, 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.identifier1424-8220
dc.identifierdoi:10.3390/s120404187
dc.identifierhttp://hdl.handle.net/123456789/228
dc.identifier.urihttp://hdl.handle.net/123456789/3454
dc.languageen
dc.publishersensors
dc.subjectdata filtering
dc.subjectdata cleaning
dc.subjectRFID
dc.subjectRFID middleware
dc.subjectsliding-window filter
dc.titleReducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach
dc.typeJournal Article

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Department of Electronics and Telecommunications Engineering