Hierarchical Regression for Data Acquisition in Wireless Sensor Networks

摘要：

In this paper, the regression framework is proposed to hierarchically organize the three regression procedures, that is, local data modelling, cluster data modelling and global data modelling, for the energy-efficient data acquisition in wireless sensor networks (WSNs). There are two advantages arising from our method. First, there is no need for any transmissions of the measured data in the modelling pro cedures, which leads to significant energy savings, even for inhomogeneous networks. Second, there is no error peaking phenomenon occurred at cluster boundaries, which contributes to considerable performance improvement.

作者: Qiuyue Wang Chaojun Hou Xuemei Guo Guoli Wang

作者单位: School of Information Science and Technology Sun Yat-sen University,Guangzhou 510275,China P.R.

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 134-137

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）