Adaptive sampling for wireless sensor networks

This paper proposes an adaptive three-stage approach for accurate field estimation using a wireless sensor network that can significantly reduce energy consumption. Under a piecewise smooth field assumption, this method nearly achieves the minimax error rate n^-12/, where n is the number of available sensors, while activating only n³4/ of the sensors in the network. This approach can save significant energy compared to dense, nonadaptive sampling.