RFID Data Management, Aggregation and Filtering

Radio Frequency Identification (RFID) technology enables a new era of business optimization. RFID provides capturing large volumes of data at high velocity and can be used for identifying, locating, tracking and monitoring physical objects without line of sight. However, despite these benefits, this technology poses many new challenges in the current data processing and management systems. RFID data are dynamically changing and time-dependent, RFID observations can contain redundant information, and the information volume generated by such a system can be enormous. Furthermore, low-level implicit RFID observations need to be transformed and aggregated into semantically meaningful data suitable for different enterprise applications. This paper aims to consider a system architecture for managing RFID data based on efficient analyzing, filtering and aggregation techniques for RFID data streams. The usage of these techniques in RFID middleware and by construction of the RFID warehouse is an important topic of our research.