Context-Aware Optimization Algorithm of RFID Event Detection

Event detection over RFID event streams is one of the most important applications of RFID based monitoring systems. Event detection over data stream extracts meaningful complex patterns from high volume, fast speed and real time raw event streams. This research aims to detect RFID event patterns by introducing context information to reduce event instances effectively. Context of an RFID application is modeled and merged into event query optimization framework. Context information is further applied into evaluation of pattern detection. Experimental results show that context information can optimize complex event detection process both on CPU time and memory consumption.