A spatial data retrieval preprocesing algorithm based on feature preserving in WSN

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.