Accurate and Fast Detection of Tag Antenna Damage for RFID Sensing: Poster Abstract

Yinan Zhu, Chunhui Duan, Xuan Ding*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Tag antenna damage is a common phenomenon in real-world RFID systems, which incurs severe changes of antenna impedance and antenna gain. Existing RFID sensing systems leveraging signal features (e.g., phase readings) related to antenna impedance or gain are vulnerable to such tag antenna damage jeopardizing sensing accuracy and reliability. In this poster, we introduce RFANT-Checker, the first automatic system that provides accurate and fast detection of tags with damaged antenna. Impedance-induced phase shift and gain-induced minimum transmission power coefficient are jointly exploited as fingerprints for selection and validation. We implement RFANT-Checker with COTS devices and evaluate it on 84 examples of commodity tag. Experiment results demonstrate the high detection accuracy of up to 97% and low time overhead of at most 10s.

Original languageEnglish
Title of host publicationIoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation
PublisherAssociation for Computing Machinery, Inc
Pages269-270
Number of pages2
ISBN (Electronic)9781450383547
DOIs
Publication statusPublished - 18 May 2021
Externally publishedYes
Event6th ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2021 - Virtual, Online, United States
Duration: 18 May 202121 May 2021

Publication series

NameIoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation

Conference

Conference6th ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2021
Country/TerritoryUnited States
CityVirtual, Online
Period18/05/2121/05/21

Keywords

  • Fingerprint-based Detection
  • RFID
  • Tag Antenna Damage

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