A System For Landslides Monitoring Using Wireless Underground Sensor Networks and Cloud Computing

This work presents a system for remote monitoring of landslides based on a wireless underground sensor network. The sensor network is implemented on Arduino components connected through Wi-Fi modules, and is responsible to collect soil moisture rates in real time. Then, the collected data is sent to a cloud computing environment in order to ensure a robust and secure storage. Moreover, the cloud platform enables data mining and the visualization of the information by the government and general people using an App designed for mobile devices. To analyze the feasibility of the system, real tests were performed using a prototype. The initial results show the sensor network accurately measured the soil moisture and the cloud computing platform was able to store and to display the collected data in real time properly to the users.