Efficient Multiple Objects-Oriented Event Detection Over RFID Data Streams

被引：0

作者：

Peng, Shanglian ^{[1
]}

Li, Zhanhuai ^{[1
]}

Li, Qiang ^{[2
]}

Chen, Qun ^{[1
]}

Liu, Hailong ^{[1
]}

Nie, Yanming ^{[1
]}

Pan, Wei ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Comp Sci & Technol, Xian 710072, Peoples R China

[2] Northwestern Polytech Univ, Coll Software & Microelect, Xian 710072, Peoples R China

来源：

WEB-AGE INFORMATION MANAGEMENT, PROCEEDINGS | 2010年 / 6184卷

基金：

中国国家自然科学基金;

关键词：

complex event processing; NFA; data stream; RFID;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Complex event processing has been extensively applied in areas such as RFID tracking for supply chain management, fluctuation detection in stock trading, real-till-le 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 RE ID 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.

引用

页码：97 / +

页数：2

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