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Volume 9
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10.3390/app9020321
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Article

Channel-Quality Aware RFID Tag Identification Algorithm to Accommodate the Varying Channel Quality of IoT Environment

by
Yen-Hung Chen
1,*,
Rui-Ze Hung
1,
Lin-Kung Chen
2,
Pi-Tzong Jan
3 and
Yin-Rung Su
4
1
Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei 11214, Taiwan
2
Mathematics and Applied Mathematics (Finance and Statistics), School of Information Engineering, Sanming University, Sanming 365004, Fujian, China
3
Department of Applied Informatics, Fo Guang University, Yilan County 26247, Taiwan
4
National Taiwan University of Science and Technology, Taipei 10607, Taiwan
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(2), 321; https://doi.org/10.3390/app9020321
Submission received: 22 December 2018 / Revised: 11 January 2019 / Accepted: 11 January 2019 / Published: 17 January 2019
(This article belongs to the Special Issue Recent Advances on Signal Processing and Deep Learning for Public Security Applications)
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Abstract

Radio Frequency Identification (RFID) technique is broadly adopted as the automated identification system for the Internet of Things (IoT). Many RFID anti-collision algorithms were proposed to accelerate the tag identification process. However, they misjudged some unreadable slots which were due to collision instead of the bad channel condition, causing low bandwidth usage. This study proposes the Channel-quality Aware Query Tree algorithm (CAQT) to improve the identification performance in an error-prone channel environment. CAQT has three novel features: (1) it estimates the channel quality continuously and statistically in the rapidly changing channel quality environment; (2) it asks the tag for retransmission or to split the collide tags based on the channel quality; (3) the number of the groups which it splits tags is based on the estimated number of tags collide in current slot. The simulation results show that CAQT uses less than 31% slots compared with the conventional algorithms. The simulation results also demonstrate that CAQT provides enhanced performance when the channel quality is varying especially in outdoor environment, for example, ticket checking for railway or subway system.
Keywords: RFID; tag identification; anti-collision; channel error; interference RFID; tag identification; anti-collision; channel error; interference

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MDPI and ACS Style

Chen, Y.-H.; Hung, R.-Z.; Chen, L.-K.; Jan, P.-T.; Su, Y.-R. Channel-Quality Aware RFID Tag Identification Algorithm to Accommodate the Varying Channel Quality of IoT Environment. Appl. Sci. 2019, 9, 321. https://doi.org/10.3390/app9020321

AMA Style

Chen Y-H, Hung R-Z, Chen L-K, Jan P-T, Su Y-R. Channel-Quality Aware RFID Tag Identification Algorithm to Accommodate the Varying Channel Quality of IoT Environment. Applied Sciences. 2019; 9(2):321. https://doi.org/10.3390/app9020321

Chicago/Turabian Style

Chen, Yen-Hung, Rui-Ze Hung, Lin-Kung Chen, Pi-Tzong Jan, and Yin-Rung Su. 2019. "Channel-Quality Aware RFID Tag Identification Algorithm to Accommodate the Varying Channel Quality of IoT Environment" Applied Sciences 9, no. 2: 321. https://doi.org/10.3390/app9020321

APA Style

Chen, Y.-H., Hung, R.-Z., Chen, L.-K., Jan, P.-T., & Su, Y.-R. (2019). Channel-Quality Aware RFID Tag Identification Algorithm to Accommodate the Varying Channel Quality of IoT Environment. Applied Sciences, 9(2), 321. https://doi.org/10.3390/app9020321

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