An Efficient Approach to Processing Massive RFID Data in Supply

Abstract. Radio Frequency Identification (RFID) is widely used to track and trace objects in supply chain management. However, massive uncertain data produced by RFID readers are not suitable for directly use in RFID applications. This is due to repetitive readings which are unnecessary because it contains only the same information. Thus, an approach to remove repetitive readings in supply chain is paramount to minimize massive data storage that could affect query performances. We propose a simplified approach, which is suitable for a wide range of application scenarios. Experimental evaluations show that our approach is effective and efficient in terms of the removing duplicate readings and compressing the massive data significantly