An extensible model for uncertain RFID data in supply Chains

Abstract

Radio Frequency Identification (RFID) technology is widely used to trace objects. However, RFID application systems can not effectively and efficiently use massive uncertain data. This study considers some properties of objects captured by sensor and GPS and proposes a comprehensive extensible model for uncertain data according to key features of RFID data which is suitable to different application scenarios. The model can effectively and efficiently store different RFID data according to key features of RFID data and supports a variety of queries for tracking and tracing RFID objects. © 2013 Asian Network for Scientific Information.