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J. Sens. Actuator Netw. 2018, 7(1), 13; https://doi.org/10.3390/jsan7010013

A Highly Efficient Predetection-Based Anticollision Mechanism for Radio-Frequency Identification

1
Department of Electrical Engineering, Chung Hua University, Hsinchu 30012, Taiwan
2
Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu 30012, Taiwan
*
Author to whom correspondence should be addressed.
Received: 9 January 2018 / Revised: 22 February 2018 / Accepted: 6 March 2018 / Published: 8 March 2018
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Abstract

One of the research areas in radio-frequency identification (RFID) systems is the reduction of the identification processing time for a number of tags within an RFID reader recognition region. In the last decade, many research results regarding anticollision algorithms have been presented in the literature. Most of them are tree-based protocols. However, it is important for tree-based protocols to enhance stability and system throughput, since they may face long identification delays when the network density is high. In this study, we present a highly efficient predetection tree-based algorithm to achieve more efficient tag identification performance. Our proposed mechanism can effectively reduce both collisions and idle cycles by exploiting the predetection technique and adjustable slot size mechanism. The simulation results show that the proposed mechanism can effectively improve tag identification time performance by around 29.9% to 64.8% over previous techniques. Further, the number of query cycles, number of collisions, and total number of slots are reduced compared to previous predetection-based protocols. It is also observed that the proposed scheme can have good performance in large-scale RFID systems. View Full-Text
Keywords: RFID systems; tag identification; anticollision scheme; query tree; predetection scheme RFID systems; tag identification; anticollision scheme; query tree; predetection scheme
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Lin, Y.-H.; Liang, C.-K. A Highly Efficient Predetection-Based Anticollision Mechanism for Radio-Frequency Identification. J. Sens. Actuator Netw. 2018, 7, 13.

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