Publisher DOI: 10.1088/1742-6596/1423/1/012001
Title: Deterministic Dual-stack Query Tree RFID tag anti-collision algorithm
Language: English
Authors: Zhou, Yanling 
Clemen, Thomas  
Issue Date: 2019
Publisher: IOP Publishing
Journal or Series Name: Journal of physics / Conference Series 
Volume: 1423
Issue: 1
Conference: International Conference on Applied Machine Learning and Data Science 2019 
Abstract: 
Tag collision problems are a major issue affecting the performance of RFID systems. The probabilistic tag anti-collision algorithm has tag starvation and cannot identify some tags. This paper proposes a deterministic dual-stack query tree algorithm (DDQT). It successfully implements the anti-collision algorithm of tags by generating new query codes and tag identification functions. At the same time, the DDQT algorithm greatly saves memory space by adding a prefix code stack and a suffix code stack. The DDQT algorithm is simple, and there is no limit on the length of the electronic tag to be queried. Compared with the previous query-tree algorithms, the DDQT algorithm has obvious improvements in query comparison times, empty query times, and occupied memory space. It can effectively remove idle nodes, shorten recognition time and save memory resources, thus improving the speed and accuracy of label recognition to some extent.
URI: http://hdl.handle.net/20.500.12738/4788
ISSN: 1742-6596
Review status: This version was peer reviewed (peer review)
Institute: Department Informatik 
Fakultät Technik und Informatik 
Type: Chapter/Article (Proceedings)
Additional note: article number: 012001
Appears in Collections:Publications without full text

Show full item record

Page view(s)

44
checked on Dec 26, 2024

Google ScholarTM

Check

HAW Katalog

Check

Add Files to Item

Note about this record


This item is licensed under a Creative Commons License Creative Commons