Journal of Frontiers of Computer Science and Technology ›› 2022, Vol. 16 ›› Issue (12): 2678-2694.DOI: 10.3778/j.issn.1673-9418.2207104

• Surveys and Frontiers • Previous Articles     Next Articles

Research Progress of RFID Data Cleaning Technology

WANG Jian1,+(), LE Jiajin2   

  1. 1. School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou 450046, China
    2. School of Computer Science and Technology, Donghua University, Shanghai 201620, China
  • Received:2022-06-06 Revised:2022-08-10 Online:2022-12-01 Published:2022-12-16
  • About author:WANG Jian, born in 1981, Ph.D., M.S. supervisor. His research interests include big data analysis, privacy preserving, intelligent information processing, etc.
    LE Jiajin, born in 1951, professor, Ph.D. supervisor. His research interests include data science management, software engineering theory and practice, etc.
  • Supported by:
    National Natural Science Foundation of China(61702161);Science and Technology Research Project of Henan Provincial Science and Technology Department(222102210289);Science and Technology Research Project of Henan Provincial Science and Technology Department(212102210386)


王健1,+(), 乐嘉锦2   

  1. 1.河南财经政法大学 计算机与信息工程学院,郑州 450046
    2.东华大学 计算机科学与技术学院,上海 201620
  • 通讯作者: +E-mail:
  • 作者简介:王健(1981—),男,河南安阳人,博士,硕士生导师,主要研究方向为大数据分析、隐私保护、智能信息处理等。
  • 基金资助:


Radio frequency identification (RFID) technology is an automatic identification method, which relies on the use of radio repeaters called RFID tags to quickly store and retrieve data. Because RFID tags do not need linear contact when communicating with readers, it is possible to collect a large amount of data in a short time. However, the collected data also produce problems such as false negative readings, false positive readings, duplicated readings, out-of-order readings and so on. In this case, how to efficiently clean the large-scale RFID data in short time has become an important research topic in the field of database. This paper mainly summarizes the existing RFID data cleaning technology. Firstly, the relevant definitions and descriptions of RFID system and RFID data cleaning problem are given, and typical datasets and evaluation criteria are listed. Then the existing RFID data cleaning work is compared and summarized in detail from the classification, subcategory, basic idea, advantages, limitations, application scenarios and other aspects of related technologies. At the same time, the relevant application systems are compared and analyzed. Then, for the key problems of the false negative reading, false positive reading, duplicated reading and out-of-order reading, the existing studies are compared and summarized in detail. Finally, this paper proposes next five research directions worthy of paying attention to in the field of RFID data cleaning, such as the construction of RFID original data and benchmark dataset, the cleaning strategy of encryption and privacy protection data, the accuracy of data collection, the timeliness of cleaning results, and scene self-learning.

Key words: radio frequency identification (RFID), data cleaning, false negative reading, false positive reading, duplicated reading, out-of-order reading, system application



关键词: 无线射频识别(RFID), 数据清洗, 漏读数据, 多读数据, 冗余数据, 乱序数据, 系统应用

CLC Number: