Using of compressed sensing in energy sensitive WSN applications

The paper is focused on the use of methods of compressed sensing (CS) in energy efficient monitoring of signals. CS allows to minimize the number of data that need to be transmitted to the sink node in the WSN environment. As a case study, we use compressed sensing for monitoring of mains voltage deformation. In this case we can assume that the measured signal is sparse in frequency domain and using of methods of compressed sensing is meaningful. Computational complexity imposed on the sensor node is minimized. On the other hand, reconstruction of the original signal in the sink node requires relatively high computing power.