LoRaWAN Technologies to Enable Landslide Disaster Prone Areas Monitoring

Abstract

The rapidly growing communication technology makes communication easier for human-to-human, human-to-machine, and machine-to-machine communication to occur through the internet. Machine-to-machine communication over the internet is known as the Internet of Things (IoT). IoT gives machines the ability to communicate with each other about what they saw, heard, and even think. The purpose of this research is to utilize IoT technology to anticipate catastrophic risks in disaster-prone areas or to reduce impacts when disasters occur. The built-in device design includes several parameters, namely air quality, weather conditions, water conditions, and soil conditions. Rainfall sensors, wind speed and direction, air temperature, and humidity are used to observe the weather conditions. Altitude and water quality sensors are used to observe the water condition. Soil temperature and humidity sensors to observe soil conditions and sensors to measure air quality. Each sensor will send data to the transmitter using the Web service, which will then be managed using IoT and cloud computing technology to provide reports and warnings related to the situation on the research site. Data sent by each sensor can be captured by the server using the Web service and can be managed to be shared with the user through developed applications. The architecture is designed to monitor disaster-prone areas by utilizing rainfall sensors, soil vibration sensors, and soil moisture sensors combined with cloud computing technology to produce an IoT for disaster management.