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http://dx.doi.org/10.9708/jksci.2011.16.5.135

A Sensor Data Management System for USN based Fire Detection Application  

Park, Won-Ik (Dept. of Computer Engineering, Chungnam National University)
Kim, Young-Kuk (Dept. of Computer Engineering, Chungnam National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.5, 2011 , pp. 135-145 More about this Journal
Abstract
These days, the research of a sensor data management system for USN based real-time monitoring application is active thanks to the development and diffusion of sensor technology. The sensor data is rapidly changeable, continuous and massive row level data. However, end user is only interested in high level data. So, it is essential to effectively process the row level data which is changeable, continuous and massive. In this paper, we propose a sensor data management system with multi-analytical query function using OLAP and anomaly detection function using learning based classifier. In the experimental section, we show that our system is valid through the some experimental scenarios. For the this, we use a sensor data generator implemented by ourselves.
Keywords
USN; Stream data; Fire Detection; OLAP; Multi-dimensional analysis; Anomaly detection;
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