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Faculty of Computer Science, University PIM , Banja Luka , Bosnia and Herzegovina
Mtel, a.d. , Banja Luka , Bosnia and Herzegovina
Flooding is natural disaster which is very frequent and most costly and unfortunately, we were witnessed flood in region in previous years. This paper will describe the usage of Internet of Things (IoT) technology to monitor river behavior in order to prevent or mitigate the recurrence of disasters. The paper also describes development and design of a wireless network, service and service platform, and use of IoT hardware (sensors) we can find on market to establish different application scenarios in the associated hydrological region, highlighting the characteristics of data collection and their use. The wireless network is implemented with LoraWAN technology. End devices are low power sensors that transmit measurement data or events periodically and / or upon LoR modulation to base stations. In this example, ultrasonic devices are used to measure distances to the water surface. Sensors are installed at existing measuring points of interest. Base stations (gateways), installed near sensors, accept packets containing the measured value and forward them to the network server. The network server accepts packets from all base stations, all sensors and devices and, depending on user requirements and platform settings, forward them to the predefined application server. The developed architecture is in charge of transmiting, encryption and security, to send real-time data packets to a server that places the collected data in a non-relational database. As a consequence, accessing, processing and visualizing data through a variety of customized queries and graphical representations is crucial for advanced use in flood and forecasting analyzes. Virtualization capabilities will be presented when processing the collected data
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