An IoT-based System for Landslides Warnings Using a Real Time Slope Monitoring Model

This work presents an IoT-based system for remote monitoringof landslides. The solution uses a Wireless Underground SensorNetwork (WUSN), a cloud computing platform and an App to implementa real time monitoring scheme. The sensor network runson Arduino components connected through Wi-Fi modules, andis responsible to collect soil moisture rates. Then, the collecteddata is sent to a cloud computing environment in order to ensurea robust and secure storage. Moreover, the cloud platform runsa model for triggering an alarm when a potential landslide is detected.Finally, an App aimed to data visualization in real time andlandslides warning is also presented. The proposed work enables areal time end to end solution, once it starts with the data collectedby the humidity sensors and finishes with the data visualization bythe citizens, which is very suitable for Smart Cities and Internetof Things (IoT) environments. The system was evaluated throughreal tests and simulated scenarios. The results show the sensornetwork accurately measured the soil moisture and the landslidesmonitoring model was able to send warnings consistently.