A survey on RFID anti-collision strategies: From avoidance to recovery

被引:0
作者
Xiong, Xinning [1 ]
Wang, Wenyong [1 ,3 ]
Yang, Ting [3 ]
Mao, Gang [2 ]
机构
[1] Macau Univ Sci & Technol, Fac Innovat Engn, Taipa 999078, Macao, Peoples R China
[2] CAAC, Second Res Inst, Chengdu 610041, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
关键词
RFID; Anti-collision; Avoidance; Recovery; MAC layer; Physical layer; TAG IDENTIFICATION; PARALLEL BACKSCATTER; COLLISION DETECTION; SIGNAL RECOVERY; ALGORITHM; TRACKING; ENERGY; TREE; PERFORMANCE; SEPARATION;
D O I
10.1016/j.comnet.2024.110897
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
By adopting appropriate anti-collision strategies, radio frequency identification (RFID) technology can realize fast and contactless reading of multiple tags, significantly improving identification efficiency and accuracy. Traditional anti-collision strategies commonly employ a collision avoidance policy that operates at the MAC layer. The principle of this strategy involves coordinating communication between multiple tags and readers through a series of algorithms. However, in large-scale and intensive scenarios, an increased likelihood of signal collisions occurs within the system due to the growing number of tags, and the traditional strategy fails to adapt to these scenarios. To further address the collision problem in RFID systems in severe environments, researchers have proposed collision recovery-based anti-collision strategies. This strategy leverages the physical layer characteristics of RFID signals, aiming to resolve the collision issue in the system through signal recovery or parallel decoding. In this work, we initially discuss the collision problem in RFID systems. Subsequently, a review of recent works based on collision avoidance strategies is presented and synthesized. After that, we review anti-collision strategies based on collision recovery, classifying and analyzing collision recovery schemes from various perspectives. Ultimately, we provide an outlook of future research directions for this technology.
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页数:21
相关论文
共 142 条
[1]   Adversarial Machine Learning in Wireless Communications Using RF Data: A Review [J].
Adesina, Damilola ;
Hsieh, Chung-Chu ;
Sagduyu, Yalin E. ;
Qian, Lijun .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2023, 25 (01) :77-100
[2]   ML-Aided Collision Recovery for UHF-RFID Systems [J].
Akyildiz, Talha ;
Ku, Raymond ;
Harder, Nicholas ;
Ebrahimi, Najme ;
Mahdavifar, Hessam .
2022 IEEE INTERNATIONAL CONFERENCE ON RFID (IEEE RFID 2022), 2022, :41-46
[3]   RFID Reader Receivers for Physical Layer Collision Recovery [J].
Angerer, Christoph ;
Langwieser, Robert ;
Rupp, Markus .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2010, 58 (12) :3526-3537
[4]   A Survey of Physical Layer Techniques for Secure Wireless Communications in Industry [J].
Angueira, Pablo ;
Val, Inaki ;
Montalban, Jon ;
Seijo, Oscar ;
Iradier, Eneko ;
Fontaneda, Pablo Sanz ;
Fanari, Lorenzo ;
Arriola, Aitor .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2022, 24 (02) :810-838
[5]  
[Anonymous], 2013, EPCGLOBAL, V1, P14
[6]   Real-Time Tracking System Based on RFID to Prevent Worker-Vehicle Accidents [J].
Arboleya, Ana ;
Laviada, Jaime ;
Alvarez-Lopez, Yuri ;
Las-Heras, Fernando .
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2021, 20 (09) :1794-1798
[7]   A beacon analysis-based RFID reader anti-collision protocol for dense reader environments [J].
Assarian, Ali ;
Khademzadeh, Ahmad ;
HosseinZadeh, Mehdi ;
Setayeshi, Saeed .
COMPUTER COMMUNICATIONS, 2018, 128 :18-34
[8]   A Novel Anti-Collision Algorithm in RFID for Internet of Things [J].
Bai Zhi ;
Wang Sainan ;
He Yigang .
IEEE ACCESS, 2018, 6 :45860-45874
[9]   Real-Time Heart Rate Monitoring via Batteryless RFID Tags [J].
Barati, Mahdi ;
Khoshniyat, Hamed ;
Mirzavand, Rashid .
2024 IEEE MTT-S INTERNATIONAL MICROWAVE BIOMEDICAL CONFERENCE, IMBIOC 2024, 2024, :21-23
[10]   RFID-Based Tracking for Worker Safety in Industrial Scenario [J].
Bernardini, Fabio ;
Buffi, Alice ;
Nepa, Paolo ;
Marracci, Mirko ;
Tellini, Bernardo ;
Di Donato, Luciano ;
Pirozzi, Marco ;
Tomassini, Laura ;
Ferraro, Alessandra .
2021 IEEE INTERNATIONAL CONFERENCE ON RFID TECHNOLOGY AND APPLICATIONS (RFID-TA), 2021, :44-47