Research Progress of RFID Data Cleaning Technology

Abstract

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.

Keywords

• |radio frequency identification (rfid)|data cleaning|false negative reading|false positive reading|duplicated reading|out-of-order reading|system application