Research on Reduction and Storage of Sensor Stream Data

摘要：

Data collected through the sensor network has features of mass, fast, uncertainties and so on. In particular, sensor data collected from similar time and space have a large deal of redundancy. To meet storage requirements of the data management in the sensor network system, this paper presents a method to reduce and store the sensor stream data. At first we use historical data to replace and clean the vacancies value data and the noise data. Then, based on stream data clustering methods, we reduce redundant data, and store more effectively.

关键词： sensor networks data cleaning data reduction clustering Algorithms

作者: Yong-Gui Zou Lei Wang Soong-Sun Shin

作者单位: Sino-Korea Chongqing GIS Research Center, College of Computer Science and Technology,Chongqing Unive Dept. of Computer Science and Information Engineering, Inha University, Korea

会议类型: 国际会议

会议名称: The 8th Asian Symposium on Geographic Information Systems from a Computer Science & Engineering Viewpoint(ASGIS 2010)(第八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: 42-44

在线出版日期: 2010-04-22（万方平台首次上网日期，不代表论文的发表时间）