A Spatial Data Retrieval Prcprocesing Algorithm Based on Feature Preserving in WSN

摘要：

Recent advances in wireless technologies have caused a significant shift in providing information services to users anywhere and any time by using various devices in a ubiquitous environment. Research works concerning the techniques used to effectively retrieve high-dimensional spatial information from WSN is immature. In this paper, we propose a preprocessing algorithm based on feature preserving for rendering effective spatial data retrieval services in the resource constrained WSN. The algorithm can be associated with the present features in spatial data and project high-dimensional data to feature space by using kernel methods for reducing the computation of spatial data retrieval. As the experiment results shown, the algorithm can preserve important spatial feature information and provide effective preprocessing analysis results.

关键词： spatial data retrieval feature preserving wireless sensor network dimensionality reduction

作者: Xin Song Xiangdong Liu Yanyan Li

作者单位: Northeastern University at Qinhuangdao Northeastern University Qinhuangdao,C hina Institute of Computing Technology Wuzhou Engineering Design and Research Institute Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 592-596

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）