Open Access

ARTICLE

A Novel Hybrid Tag Identification Protocol for Large-Scale RFID Systems

Ye Mu^1,2,3,4, Ruiwen Ni¹, Yuheng Sun¹, Tong Zhang¹, Ji Li¹, Tianli Hu^1,2,3,4, He Gong^1,2,3,4, Shijun Li^1,2,3,4,*, Thobela Louis Tyasi⁵

1 College of Information Technology, Jilin Agricultural University, Changchun, 130118, China
2 Jilin Province Agricultural Internet of Things Technology Collaborative Innovation Center, Changchun, 130118, China
3 Jilin Province Intelligent Environmental Engineering Research Center, Changchun, 130118, China
4 Jilin Province Colleges and Universities The 13th Five-Year Engineering Research Center, Changchun, 130118, China
5 Department of Agricultural Economics and Animal Production, University of Limpopo, Sovenga, 0727, Polokwane, South Africa

* Corresponding Author: Shijun Li. Email:

Computers, Materials & Continua 2021, 68(2), 2515-2527. https://doi.org/10.32604/cmc.2021.016570

Received 05 January 2021; Accepted 05 February 2021; Issue published 13 April 2021

Abstract

Radio frequency identification technology is one of the main technologies of Internet of Things (IoT). Through the transmission and reflection of wireless radio frequency signals, non-contact identification is realized, and multiple objects identification can be realized. However, when multiple tags communicate with a singleton reader simultaneously, collision will occur between the signals, which hinders the successful transmissions. To effectively avoid the tag collision problem and improve the reading performance of RFID systems, two advanced tag identification algorithms namely Adaptive M-ary tree slotted Aloha (AMTS) based on the characteristics of Aloha-based and Query tree-based algorithms are proposed. In AMTS, the reader firstly uses the framed slotted Aloha protocol to map the tag set to different time slots, and then identify the collided tags using binary search method based on collision factor or mapping table. Both performance analysis and extensive experimental results indicate that our proposed algorithms significantly outperforms most existing anti-collision approaches in tag dense RFID systems.

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Keywords

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