RFID uncertain data cleaning framework based on selection mechanism

Abstract

Radio frequency identification (RFID) is one of the key technologies in Internet of Things. The mass and uncertainty of RFID raw data limit the development of the technology seriously. Through the analysis of the uncertain data, an RFID data cleaning framework based on selection mechanism (CFBS) is established. The framework introduces selection mechanism, and can select the optimal cleaning lines according to the cleaning nodes' judgment conditions. It reduces the delay generated by data transmission and cleaning, because it needn't travel all the cleaning nodes in cleaning framework. The experimental results show that the cleaning framework can ease the pressure of data transmission, and improve the efficiency of data cleaning greatly. © 2012 Springer-Verlag.