Simplified Stream Discharge Estimation for Hydrological Application based on NB-IoT Deployment

In order to support and provide more accurate information which is needed to better operate and manage in hydrological applications, this paper proposes the simplified estimation of the stream discharge based on width, depth and water flowing rate measurements. In this paper, the NB-IoT deployment composed of width sensor, depth sensor and water flow sensor is designed and implemented for water resource management such as stream, canal, river, etc. The proposed hydrological WSN comsists of two main parts: 1) a remote control via mobile application and 2) a small boat built-in all sensing devices. As the focus of this paper, the hardware selections are discussed in detail. Based on the Arduino UNO microcontroller platform, the system can collect data and send out all measured data through Bluetooth communication. Moreover, it is controlled by features of the localization and then can represent its positioning with the Google mapping application via mobile device. Experimental results of the simplified stream discharge estimation verified that the proposed NB-IoT system can accurately monitor the width and depth parameters and also estimate the stream discharge properly.