@Article{cmc.2021.016570,
AUTHOR = {Ye Mu, Ruiwen Ni, Yuheng Sun, Tong Zhang, Ji Li, Tianli Hu, He Gong, Shijun Li, Thobela Louis Tyasi},
TITLE = {A Novel Hybrid Tag Identification Protocol for Large-Scale RFID Systems},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {68},
YEAR = {2021},
NUMBER = {2},
PAGES = {2515--2527},
URL = {http://www.techscience.com/cmc/v68n2/42179},
ISSN = {1546-2226},
ABSTRACT = {<p>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.</p>
},
DOI = {10.32604/cmc.2021.016570}
}