A Novel Anti-Collision Algorithm for Large Scale of UHF RFID Tags Access Systems

When the radio frequency identification (RFID) system inventories multiple tags, the recognition rate will be seriously affected due to collisions. Based on the existing dynamic frame slotted Aloha (DFSA) algorithm, a sub-frame observation and cyclic redundancy check (CRC) grouping combined dynamic...

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Published inComputers, materials & continua Vol. 80; no. 1; pp. 897 - 912
Main Authors Zhang, Xu, He, Yi, Yi, Haiwen, Zhang, Yulu, Li, Yuan, Ma, Shuai, Li, Gui, Zhao, Zhiyuan, Liu, Yue, Liu, Junyang, Wen, Guangjun, Li, Jian
Format Journal Article
LanguageEnglish
Published Henderson Tech Science Press 2024
Subjects
Algorithms
Collision avoidance
Pseudorandom
Radio frequency identification
Redundancy
Subframes
Tags
Ultrahigh frequencies
Online AccessGet full text
ISSN1546-2226
1546-2218
1546-2226
DOI10.32604/cmc.2024.050000

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Abstract When the radio frequency identification (RFID) system inventories multiple tags, the recognition rate will be seriously affected due to collisions. Based on the existing dynamic frame slotted Aloha (DFSA) algorithm, a sub-frame observation and cyclic redundancy check (CRC) grouping combined dynamic framed slotted Aloha (SUBF-CGDFSA) algorithm is proposed. The algorithm combines the precise estimation method of the quantity of large-scale tags, the large-scale tags grouping mechanism based on CRC pseudo-random characteristics, and the Aloha anti-collision optimization mechanism based on sub-frame observation. By grouping tags and sequentially identifying them within subframes, it accurately estimates the number of remaining tags and optimizes frame length accordingly to improve efficiency in large-scale RFID systems. Simulation outcomes demonstrate that this proposed algorithm can effectively break through the system throughput bottleneck of 36.8%, which is up to 30% higher than the existing DFSA standard scheme, and has more significant advantages, which is suitable for application in large-scale RFID tags scenarios.
AbstractList When the radio frequency identification (RFID) system inventories multiple tags, the recognition rate will be seriously affected due to collisions. Based on the existing dynamic frame slotted Aloha (DFSA) algorithm, a sub-frame observation and cyclic redundancy check (CRC) grouping combined dynamic framed slotted Aloha (SUBF-CGDFSA) algorithm is proposed. The algorithm combines the precise estimation method of the quantity of large-scale tags, the large-scale tags grouping mechanism based on CRC pseudo-random characteristics, and the Aloha anti-collision optimization mechanism based on sub-frame observation. By grouping tags and sequentially identifying them within subframes, it accurately estimates the number of remaining tags and optimizes frame length accordingly to improve efficiency in large-scale RFID systems. Simulation outcomes demonstrate that this proposed algorithm can effectively break through the system throughput bottleneck of 36.8%, which is up to 30% higher than the existing DFSA standard scheme, and has more significant advantages, which is suitable for application in large-scale RFID tags scenarios.
Author Li, Yuan
He, Yi
Zhang, Yulu
Liu, Junyang
Zhang, Xu
Ma, Shuai
Liu, Yue
Li, Gui
Zhao, Zhiyuan
Wen, Guangjun
Yi, Haiwen
Li, Jian
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SubjectTerms Algorithms
Collision avoidance
Pseudorandom
Radio frequency identification
Redundancy
Subframes
Tags
Ultrahigh frequencies
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