捕获效应下基于比特检测的多分支树RFID标签识别协议

Translated title of the contribution: Capture-aware bit-detecting M-ary tree protocol for RFID tag identification

Lijuan Zhang, Mingqiu Fan, Lei Lei*, Yong Wang, Daishu Yuan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In passive radio frequency identification (RFID) systems, the capture effect may occur that the reader is possible to successfully decode the strongest signal when multiple tags reply simultaneously. In this situation, the weaker signals will be covered resulting in a tag hidden problem which greatly affects the system performance. To solve the problem, a bit-detecting M-ary tree (BMT) protocol was proposed. First, a bit-detecting tag number estimation method was proposed to estimate the number of tags and group them with a few slots. Next, an M-ary tree protocol was developed to eliminate all the idle slots and identify tags quickly. At the same time, a hash muting strategy was given to mute the identified tags and label the hidden ones with small communication cost. Both theoretic analysis and simulation results demonstrate that BMT can effectively reduce the identification delay by at least 15%.

Translated title of the contributionCapture-aware bit-detecting M-ary tree protocol for RFID tag identification
Original languageChinese (Traditional)
Pages (from-to)205-216
Number of pages12
JournalTongxin Xuebao/Journal on Communications
Volume42
Issue number11
DOIs
Publication statusPublished - 25 Nov 2021
Externally publishedYes

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