An Examination of Sensor Data Collection Method for Spatial Interpolation on Hierarchical Delaunay Overlay Network

Geographical contour lines are often used for the analysis of the sensor data distribution on wide area. In this paper, we propose a method to reconstruct contour lines by collecting sensor data from widely distributed sensors. In this case, it is redundant to collect all sensors from wide area since geographically closed sensors sense similar data. We propose a sensor data collection method for peer-to-peer sensor network to realize spatial interpolation of sensor data. In our proposal, we assume hierarchical Delaunay overlay network (HDOV) to collect sensor data uniformly. In addition, using structure of HDOV, more local sensor data is collected that affect on the spatial interpolation. By this mechanism, redundant sensor data to reconstruct geographical contour lines is reduced. The simulation result shows that our proposal can reconstruct accurate geographical contour lines, reducing target node and message numbers for data collection.