@Article{cmc.2020.012267,
AUTHOR = {Cuixiang Wang, Xing Shao, Yifan Meng, Jun Gao},
TITLE = {A Physical Layer Network Coding Based Tag Anti-Collision Algorithm for RFID System},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {66},
YEAR = {2021},
NUMBER = {1},
PAGES = {931--945},
URL = {http://www.techscience.com/cmc/v66n1/40489},
ISSN = {1546-2226},
ABSTRACT = {In RFID (Radio Frequency IDentification) system, when multiple tags
are in the operating range of one reader and send their information to the reader
simultaneously, the signals of these tags are superimposed in the air, which results
in a collision and leads to the degrading of tags identifying efficiency. To improve
the multiple tags’ identifying efficiency due to collision, a physical layer network
coding based binary search tree algorithm (PNBA) is proposed in this paper.
PNBA pushes the conflicting signal information of multiple tags into a stack,
which is discarded by the traditional anti-collision algorithm. In addition, physical
layer network coding is exploited by PNBA to obtain unread tag information
through the decoding operation of physical layer network coding using the con-
flicting information in the stack. Therefore, PNBA reduces the number of interactions between reader and tags, and improves the tags identification efficiency.
Theoretical analysis and simulation results using MATLAB demonstrate that
PNBA reduces the number of readings, and improve RFID identification effi-
ciency. Especially, when the number of tags to be identified is 100, the average
needed reading number of PNBA is 83% lower than the basic binary search tree
algorithm, 43% lower than reverse binary search tree algorithm, and its reading
efficiency reaches 0.93.},
DOI = {10.32604/cmc.2020.012267}
}