2011
DOI: 10.1109/mwc.2011.5999767
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Robust statistical methods for detection of missing RFID tags

Abstract: The technology of Radio Frequency IDentification (RFID) is being deployed in many applications, such as logistics and inventorying. However, a generic problem in all RFID systems is to ensure that the RFID readers can reliably read a set of RFID tags, such that the probability of missing tags stays below some acceptable value. This paper introduces statistical methods to deal with the problem of missing RFID tags. These methods are applied at the reliability layer, which initiates multiple reader sessions by i… Show more

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Cited by 21 publications
(27 citation statements)
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“…JID: ADHOC [m3Gdc; 20:32] the query result and reports it to the server (steps 4 and 5 Note that related work reviewed in Section 2.2 differs from those on the missing tag problem in [30][31][32]. The missing tag in [30][31][32] refers to a tag that is left unidentified due to channel errors drowning its communication with the reader.…”
Section: Article In Pressmentioning
confidence: 99%
See 3 more Smart Citations
“…JID: ADHOC [m3Gdc; 20:32] the query result and reports it to the server (steps 4 and 5 Note that related work reviewed in Section 2.2 differs from those on the missing tag problem in [30][31][32]. The missing tag in [30][31][32] refers to a tag that is left unidentified due to channel errors drowning its communication with the reader.…”
Section: Article In Pressmentioning
confidence: 99%
“…The missing tag in [30][31][32] refers to a tag that is left unidentified due to channel errors drowning its communication with the reader. The missing tag reviewed in Section 2.2, however, is due to object loss [9].…”
Section: Article In Pressmentioning
confidence: 99%
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“…The first intuition is to assume that detections by several readpoints are statistically independent with a detection probability P D i . Assuming further that the detection probability P D 1 = P D 2 = · · · = P D N is equal for all readpoints leads to the binomial distribution for the combined detection probability [10]. However, these assumptions oversimplify the problem and only hold under certain conditions.…”
Section: Problem Definitionmentioning
confidence: 99%