An Efficient RFID Data Processing Scheme for Data Filtering and Recognition

Radio frequency identification (RFID) technology has been toward a mature stage. Many industries build the RFID technology into the production process. The RFID technologies can support the firms in the supply chains to share information and increase the achieved transparency of process control and complete traceability records. At present, more RFID applications have been extended to life by the logistics management application. RFID developments of the future are a large-scale deployment, and information sharing with each other to achieve the convenience of multiple applications. To achieve the above purpose, the core function of RFID middleware is to achieve effective data collection and information sharing. Since RFID can generate large amounts of data flow in a short time, RFID middleware has to fast filter duplicated data and identify valid data. In this work, we design a data processing method to achieve on effective data filtering control. We design the filtering method and the effective hash functions which use the EPC coding of characteristics combining tree structure. The proposed middleware can reduce large amounts of data from readers by filtering duplicated data. Finally, we simulated the proposed data processing control schemes and revealed the good performance results.