Large-scale Wireless Sensor Networks Situation Awareness Using Multivariate Time Series Association Rules Mining

摘要：

Situation awareness has lately become an important topic of wireless sensor networks research. In this paper, multivariate time series association rules mining method is applied to large-scale wireless sensor network data to comprehend situation. With this method, the patterns of sensor network behavior are able to be obtained. In order to verify the above proposal, experiments are conducted and, together with application of Intel Berkeley research lab data, show some positive results.

作者: Weisong He Hongmei Xiang

作者单位: Chongqing College of Electronic Engineering University of Electronic Science and Technology of China Chongqing College of Electronic Engineering

会议类型: 国际会议

会议名称: 2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)

会议地点: 成都

会议语种:英文

页码: 95-97

在线出版日期: 2010-06-28（万方平台首次上网日期，不代表论文的发表时间）