ECA Rule-based RFID Data Management

Abstract

RFID reader networks generate an abundance of event data every day. Those data are raw streams of RFID data, and do not bear any business meaning. A challenge issue in RFID middleware is the design of an appropriate mechanism for dealing with the mass data so that logical conclusions and state of the business can be derived. The paper investigates the issues related to effective RFID data management and introduces a great way to collect complex decision-making logic and handle the mass data generated by RFID reader networks using rule engine. Event-Condition-Action (ECA) rules are adopted. In our approach, RFID middleware's reactive functionality is specified and managed within a rule base rather than being encoded in programs. The flexibility and efficiency of RFID data processing is achieved. And the modularity, maintainability and extensibility of the RFID middleware are enhanced.