Efficient Multiple Objects-Oriented Event Detection Over RFID Data Streams

Shanglian Peng, Zhanhuai Li, Qiang Li, Qun Chen, Hailong Liu, Yanming Nie, Wei Pan

Abstract: Complex event processing has been extensively applied in areas such as RFID tracking for supply chain management, fluctuation detection in stock trading, real-time intrusion detection in network monitoring,etc. Most existing research works focus on specification, formalization and evaluation of single-object oriented complex event processing. In this paper, we investigate complex event processing problems over multiple correlated RFID objects. We study multiple correlated RFID event detection problems. We present two kinds of evaluation algorithms: SEquence Join Algorithm(SEJA) and Stream Join Algorithm(SJA). Experimental studies demonstrate that our proposed algorithms are effective and scalable.