Journal
SENSORS
Volume 12, Issue 4, Pages 4187-4212Publisher
MDPI
DOI: 10.3390/s120404187
Keywords
data filtering; data cleaning; RFID; RFID middleware; sliding-window filter
Funding
- German Academic Exchange Service DAAD
- South Africa NRF
- CUT
- UDSM [ECSE-(C1A:1.1)]
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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.
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