Efficient Missing Key Tag Identification in Large-Scale RFID Systems: An Iterative Verification and Selection Method

Radio frequency identification (RFID) system has been extensively employed to track missing items by affixing them with RFID tags. Many practical applications require to efficiently identify missing events for a specific subset of system tags (called key tags) due to their elevated importance. Existing methods primarily aim to identify all tags, which makes it challenging to specifically identify key tags because of interference from other non-key tags (called ordinary tags). In light of this, several key tag identification methods follow a two-step scheme that filters ordinary tags first and then identifies key tags. Nevertheless, this wastes too much time on tag filtering, resulting in low time efficiency. This paper presents a novel missing key tag identification protocol with two creative designs to gain high efficiency. First, we develop a novel verification technique that can rapidly determine the presence or absence of key tags amid the scenarios with both key tags and ordinary ones. By combining the ON-OFF Keying modulation, we could verify multiple key tags in a single slot, thereby reducing the total slots required. Second, we design a new selection technique that efficiently selects the unverified key tags for further verification, while filtering out the verified key tags and irrelevant ordinary tags to avoid redundant data transmission. Additionally, we present an enhancement protocol that leverages a preselection technique to avoid collecting useless tag responses, further boosting efficiency. We carry out rigorous theoretical analysis to optimize the performance of the proposed protocols. Both simulations and practical experiments demonstrate that our method is markedly superior to state-of-the-art solutions.

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Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2024-11-07
DOI
https://doi.org/10.1109/tmc.2024.3493597
Citations
4
Primary Topic
RFID technology advancements
Type
article
Field-Weighted Citation Impact
1.28
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article

Efficient Missing Key Tag Identification in Large-Scale RFID Systems: An Iterative Verification and Selection Method

Xin Nan Xie, Song Guo, Hangyu Mao, Jiangjin Yin
4 citations
IEEE Transactions on Mobile Computing
RFID technology advancements
1.28
article

Efficient Missing Key Tag Identification in Large-Scale RFID Systems: An Iterative Verification and Selection Method

Xin Nan Xie, Song Guo, Hangyu Mao, Jiangjin Yin
article en
4 citations

Abstract

Radio frequency identification (RFID) system has been extensively employed to track missing items by affixing them with RFID tags. Many practical applications require to efficiently identify missing events for a specific subset of system tags (called key tags) due to their elevated importance. Existing methods primarily aim to identify all tags, which makes it challenging to specifically identify key tags because of interference from other non-key tags (called ordinary tags). In light of this, several key tag identification methods follow a two-step scheme that filters ordinary tags first and then identifies key tags. Nevertheless, this wastes too much time on tag filtering, resulting in low time efficiency. This paper presents a novel missing key tag identification protocol with two creative designs to gain high efficiency. First, we develop a novel verification technique that can rapidly determine the presence or absence of key tags amid the scenarios with both key tags and ordinary ones. By combining the ON-OFF Keying modulation, we could verify multiple key tags in a single slot, thereby reducing the total slots required. Second, we design a new selection technique that efficiently selects the unverified key tags for further verification, while filtering out the verified key tags and irrelevant ordinary tags to avoid redundant data transmission. Additionally, we present an enhancement protocol that leverages a preselection technique to avoid collecting useless tag responses, further boosting efficiency. We carry out rigorous theoretical analysis to optimize the performance of the proposed protocols. Both simulations and practical experiments demonstrate that our method is markedly superior to state-of-the-art solutions.

IEEE Transactions on Mobile ComputingVol. 24(3)
Hong Kong Polytechnic University (HK), Tianjin University (CN), Huazhong Agricultural University (CN), Kuaishou (China)
Openalex Percentile: Top 17%
RFID technology advancements
1.28
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