Monitoring of water level based on acoustic emissions

One of the interesting areas in Wireless Sensor Networks (WSN) is an environmental monitoring. WSN applications in environmental monitoring are characterized mainly by the need to ensure their long-term operation with minimal energy resources. Therefore, this contribution is dedicated to the energy-saving methods for indirect monitoring of water flow or water level. The proposed methods are based on processing of the acoustic signal emitted by the water flow. The system uses the principles known from the theory of learning systems. Before deploying each sensor into operation, the parameters of the model have to be set during the learning phase. After setting of these parameters the sensing element can work independently. Individual sensors are communicating over the network using the communication subsystem working in the ISM band.