An Empirical Study on Hidden Tag Problem

Author:

Li Rui12,Ding Han3,Li Shaoping3,Wang Xing3,Liu Hui1ORCID,Zhao Jizhong3

Affiliation:

1. School of Software and Institute of Software Engineering, Xidian University, Xi'an 710126, China

2. Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Xi'an 710071, China

3. School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China

Abstract

Radio-frequency identification (RFID) techniques are widely used in many ubiquitous applications. The most important usage of RFID techniques is to read the tags within a reader's interrogation area such that the objects attached with those tags can be identified. In real practice, it is common that a tag is physically in the interrogation range but cannot be read by the reader, due to the multipath effect and other interference. This phenomenon, namely, the hidden tag problem, is a big challenge to achieve high identification rate. To address this problem, most prior works depend on empirical or measurement-based methods to tune the transmission power for readers. Such a case-by-case solution is impractical for generic implementation. In this paper, we theoretically and experimentally explore the reasons why hidden tag problem occurs. To alleviate its impact, we propose a unified and measurable model to formulate this problem and its impact. Different from previous works, our solution is generic and fully compatible with existing EPC C1G2 protocol. The analysis and measurement based on our model can help to design and deploy RFID systems with high identification rate.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Intelligent Library Management Using Radio Frequency Identification;Advances in Library and Information Science;2024-06-28

2. Quantitative analysis of RFID’ publications from 2006 to 2016;International Journal of Information Management;2019-10

3. A Novel Multivariable Algorithm for Detecting and Tracing Metal Mobile Objects Employing a Simple RFID Setup;International Journal of Distributed Sensor Networks;2015-11-01

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