WSN and IoT Based Landslide Monitoring System

Abstract

Landslide is one of the most severe natural disaster has caused huge socioeconomic losses. Statistics from the Centre for Research on Epidemiology of Disasters (CRED) estimates that 17% of fatalities caused from all natural disaster are due to landslides. This paper demonstrate a proposed monitoring and early warning system for landslide utilising Wireless Sensor Networks WSN and Internet of Things IoT technology. The system will include soil moisture sensor as it has been demonstrated by various researcher that rainfall is one of the leading cause of landslide. DHT22 sensor is used to record the air temperature and humidity of the soil surface. MPU6050 gyro-accelerometer which consisted of 3-axis gyroscope and 3-axis accelerometer will be utilized to detect soil movement and vibration with relatively high accuracy and resolution. Arduino Mega 2560 will record the temperature, humidity, vibration and moisture of the soil surface. These real-time data will be transmitted using via ZigBee to a receiver unit which is equipped with ESP8266 Wi-fi module so that the data can be uploaded to the cloud. The data and status of the terrain is assessable to other researchers and public via smart phone application developed using Blynk Internet of Things IoT platform. The landslide alert will be broadcast through smartphone application unlike other proposed system in the literature. Communities can receive the alert in real-time thereby potentially reduce the fatality risk.