ABSTRACT
This work presents an IoT-based system for remote monitoring
of landslides. The solution uses a Wireless Underground Sensor
Network (WUSN), a cloud computing platform and an App to implement
a real time monitoring scheme. The sensor network runs
on Arduino components connected through Wi-Fi modules, and
is responsible to collect soil moisture rates. Then, the collected
data is sent to a cloud computing environment in order to ensure
a robust and secure storage. Moreover, the cloud platform runs
a model for triggering an alarm when a potential landslide is detected.
Finally, an App aimed to data visualization in real time and
landslides warning is also presented. The proposed work enables a
real time end to end solution, once it starts with the data collected
by the humidity sensors and finishes with the data visualization by
the citizens, which is very suitable for Smart Cities and Internet
of Things (IoT) environments. The system was evaluated through
real tests and simulated scenarios. The results show the sensor
network accurately measured the soil moisture and the landslides
monitoring model was able to send warnings consistently.