Two-layer data stream processing framework based on density for monitoring system

摘要：

With the development of science and technology,some specific applications produce multiple,continuous, rapid, and time-varying data streams.Sensor network is one kind of this application especially disaster monitoring and predication. Sensor data is in the form of data stream. This paper proposes a framework of two layer data stream processing based on density (local information processing layer and data superposition layer) .As the sensor data is quite huge and continuously varying, it is hard to store all the data in a traditional database then do some operation on them. Both the real-time and historical data is important for users. Because the real-time data can be provided the monitoring information of current status and the historical data is useful for predicating and helping user to make a decision. This paper we use the data stream clustering method to process the sensor data.

作者: Li Li Xun Li Sang Bong Yoo

作者单位: School of Computer Science, Inha University, Incheon,402-751, Korea

会议类型: 国际会议

会议名称: The 5th Asian Symposium on Geographic Information Systems from Computer Science & Engineering View(ASGIS 2007)(第五届亚洲地理信息系统国际学术研讨会)

会议地点: 重庆

会议语种:英文

页码: 291-297

在线出版日期: 2007-04-24（万方平台首次上网日期，不代表论文的发表时间）