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A Protocol Stack for Large-Scale RFID Systems: Mitigating Reader and Tag Collisions

delete2024-10-01
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PRE
AI
王严严 (Yanyan Wang)
J
Jia Liu
Z
Zhihui Yang
屈志昊 cover
屈志昊 (Zhihao Qu) *
N
Nan Yu
W
Wei Xiang
B
Baoliu Ye
DOI:10.1109/JIOT.2024.3398650delete
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Abstract

Abstract

En 中文
With the proliferation of radio frequency identification (RFID)-enabled applications, multiple RFID readers (or reader antennas) must be used to provide full coverage to any deployment area beyond the communication range of a single reader. However, reader collision together with tag-to-tag collision seriously degrades the system performance or even blocks out some tags from being read. To address this problem, this article proposes a time-efficient protocol stack that is tailored to the tag identification in a multireader RFID system, which consists of two protocols: one is for eliminating reader collision (RCE) and the other is for avoiding tag-to-tag collision (TCE). In RCE, we enable multiple readers to work in parallel for maximizing the number of tags to be read per unit of time, where RCE shines is that it well addresses the problem of unbalanced load by each reader due to uneven tag distributions. Namely, in existing work, the readers with fewer tags covered will finish the tag identification earlier than other readers (with more tags). After that, these readers have to wait for all readers until they are done. This is a waste of time. The solution of RCE is to take the reader with the minimum number of tags as the reference and iteratively to update the set of concurrent readers. Besides, in TCE, we use bit-level tag response to resolve tag-to-tag collision and increase the number of useful slots, so does the read throughput. Theoretical analysis and simulation results show that the above two protocols can jointly improve the inventory efficiency and reduce the identification time by more than 50%, in comparison to the state-of-the-art. We validate TIMR's performance by comparing its results on a real-world library data set with simulated data, demonstrating consistency across both settings.
Keywords:
Radiofrequency identification
Protocols
Internet of Things
Interference
Image color analysis
Throughput
Object recognition
Protocol stack
reader collision
radio frequency identification (RFID)
tag-to-tag collision
time efficiency

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

H
Hohai University
Scholars:
2.3W
Papers: 1.8W
Citations: 2.1W
N
nanjing university
Scholars:
7.7W
Papers: 5.6W
Citations: 87
L
La Trobe University
Scholars:
1.1W
Papers: 1.1W
Citations: 1.5W
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