Paper Info
Title
TagSort : Accurate Relative Localization Exploring RFID Phase Spectrum Matching for Internet of Things
Abstract
The radio frequency identification (RFID) technologies, which have been widely adopted in different Internet of Things (IoT) applications, are the fundamental building block for achieving smart factories, smart logistics, smart stores, etc. Besides knowing the ID of tags, the relative location information of different tags is of great importance since it contains the spatial relationship among different tags, which is essential for many object localization applications beyond the capacity of absolute localization approaches. In this article, we propose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TagSort</italic> , an RFID-based sorting system that exploits the physical layer information, i.e., the phase of RFID wireless signals to achieve the relative localization of different tags. Several novel filtering and peak detection algorithms are proposed to achieve accurate and robust detection of the order of tags. Extensive evaluation shows promising results (over 95% accuracy) and make <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TagSort</italic> a promising system for future RFID sorting systems, thus enabling a variety of IoT applications and services.
Year
DOI
Venue
2020
10.1109/JIOT.2019.2950174
IEEE Internet of Things Journal
Keywords
Field
DocType
Internet of Things,Transmitting antennas,Sorting,RF signals,Feature extraction,RFID tags
Phase spectrum,Computer science,Internet of Things,Computer network
Journal
Volume
Issue
ISSN
7
1
2327-4662
Citations 
PageRank 
References 
1
0.35
0
Authors
8
Name
Order
Citations
PageRank
Jinjiang Lai110.69
Chengwen Luo219321.49
Jiawei Wu35213.23
Jian-qiang Li443348.60
Jia Wang522.06
Jie Chen611.02
Gang Feng710.35
Houbing Song81771172.26