| 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 |
2018-03-27T08:52:20Z |
|
| dc.date.available |
2018-03-27T08:52:20Z |
|
| 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/123456789/3454 |
|
| 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 |
|