Adaptive compressive sensing for low power wireless sensors

Abstract

Compressive sensing has been demonstrated as an appealing technique in the implementation of low-power sensors. This work studies the feasibility and potential power savings by adaptively adjusting the sampling rates in compressive sensing operations, which is referred to as adaptive compressive sensing in this paper. The results reveal that the sparsity of many biomedical sensor signals varies over time and hence it is possible to perform such adaptive operations. The study also shows that the adaptive operation can lead to significant reduction on sensor node power consumption