EUCAP2018_2017_10_07.pdf (296.97 kB)
Persistent Q anti-collision algorithm for RFID
conference contribution
posted on 2019-01-15, 11:57 authored by Xiao-fang Jin, Yu-xi Zhang, Robert EdwardsRobert Edwards, Zhe Wang© Institution of Engineering and Technology.All Rights Reserved. In passive Radio Frequency Identification Systems (RFIDs), the interrogator should energise clients within range and use their backscattered replies to identify an inventory as quickly as possible. However, at the interrogator replies from two or more energised clients may collide and collided clients may not be identified. Therefore, collisions increase the number of timeslots needed to record an inventory. Reducing the number and frequency of collisions is an important and topical area research in RFID. Previously for passive Ultra High Frequency RFID the problem of collisions has been addressed using an ALOHA based protocol called the Q-Selection Algorithm. In this paper, a more efficient algorithm is presented that is shown to reduce the number of timeslots needed to record an inventory by approximately 30% when compared to the existing Q algorithm.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
European Conference on Antennas and Propagation IET Conference PublicationsVolume
2018Issue
CP741Citation
JIN, X-F. ... et al., 2018. Persistent Q anti-collision algorithm for RFID. Presented at the 12th European Conference on Antennas and Propagation (EuCAP 2018), ExCeL London, 9-13th April. London: IET.Publisher
© IETVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2018-01-01Publication date
2018Notes
This paper is a postprint of a paper submitted to and accepted for publication and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital LibraryISBN
9781785618161Publisher version
Book series
IET Conference Publications;CP741Language
- en