Application of compressed sensing in effective power consumption of WSN for landslide scenario

Wireless sensor network (WSN) is an effective facility to predict and monitor the landslide in real time. One of the problems of the WSN for landslide monitoring is the power consumption. There is a lot of work have tried to overcome this limitation. This paper focuses on a new development of compressed sensing (CS) based algorithm which can be applied for landslide monitoring. This work exploits the natural properties of the data acquired in the time domain. The transmitted data is the random set of the Fourier coefficients corresponding to the time domain data. The effective algorithm is verified by both simulated and experimental data which are sensed from multiple sensors in the wireless node.