Advertisement
Published in:
2018 | OriginalPaper | Chapter
Improved RFID Anti-collision Algorithm Based on Quad-Tree
Authors : Hui Guan, Zhaobin Liu, Yan Zhang
Published in: Computational Intelligence and Intelligent Systems
Publisher: Springer Singapore
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
With the wide application of Radio Frequency Identification (RFID) technology in many fields, anti-collision algorithm to solve the problem of multi-tag identification becomes more and more important. The current RFID anti-collision algorithm is mainly divided into two categories: ALOHA based algorithm and tree based algorithm. The traditional tree based anti-collision algorithm has a long time and low efficiency. Based on this, this paper proposed an improved RFID anti-collision algorithm based on quad-tree. It can eliminate idle timeslots of the identification process by grouping and re-encoding the original ID code of electronic tag. The mathematical analysis and simulation results show that the identification performance of the proposed algorithm is greatly improved compared with other traditional tree based algorithms.