Using Low-Level Reader Data to Detect false-positive RFID Tag Reads
ISBN
978-1-4244-7413-4
Type
conference paper
Date Issued
2010-11-29
Author(s)
Abstract
Radio Frequency Identification (RFID) can be used in various ways for the optimization of supply chain management processes. However, there are technological constraints that delay a reliable and productive use of the technology. One of these constraints is the problem of false-positive RFID tag reads i.e., tags that have been read unintentionally by an RFID reader. We propose a machine learning based approach that makes use of the low-level reader data collected when reading tags to detect such false-positives. We evaluate our approach by verifying it with data collected in a productive RFID enabled distribution center, where it is necessary to distinguish between pallets that are loaded onto trucks and pallets that are in range of the reader by accident only. Furthermore, we identify several attributes which are expected to reveal characteristics within the low-level reader data that is typical to such false-positive reads.
Language
English
HSG Classification
contribution to scientific community
Refereed
No
Publisher
IEEE
Start page
1
End page
8
Event Title
International Conference on the Internet of Things (IoT 2010)
Event Location
Tokyo
Event Date
29.11.-01.12.2010
Subject(s)
Division(s)
Eprints ID
224389
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Name
Using low-level reader data to detect false-positive RFID tag reads.pdf
Size
319.12 KB
Format
Adobe PDF
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