Smart Landslide Monitoring Device

Abstract

Landslides are catastrophic natural events that often lead to significant loss of life and property, especially in mountainous and hilly areas. Traditional landslide monitoring methods face challenges such as limited real-time data acquisition and high maintenance costs. This paper presents the design and implementation of a Smart Landslide Monitoring Device using Wireless Sensor Networks (WSN). The system is composed of sensor nodes that collect environmental data, such as soil moisture, rain, and vibration, which are crucial indicators of landslide risk. The data is transmitted wirelessly to a central processing unit, where it is analyzed for early detection of potential landslide events. The proposed system aims to enhance the timeliness and accuracy of landslide prediction, providing real-time alerts to mitigate risks. Simulation results demonstrate the system’s ability to effectively detect landslide precursors, offering a promising solution for landslide management.