A Low‐Cost IoT Framework for Landslide Prediction and Risk Communication

A landslide, that is, collapse of a mass of earth or rock from a mountain or cliff, is a common phenomenon in hills. Landslides pose a large threat to life and infrastructure and there is a need to develop low‐cost sensing frameworks that could help in monitoring landslides and alert people before they occur. Certain existing technologies have been used for monitoring landslides (e.g., the use of unmanned aerial vehicle‐based remote sensing). The
I
nternet of
T
hings (
IoT
) technologies could provide alternate solutions for monitoring landslides. However, existing
IoT
technologies are diverse and expensive to use. Thus, there is a need for developing low‐cost
IoT
frameworks for monitoring landslides, especially in developing countries. This chapter proposes a microelectromechanical system (
MEMS
)‐based
IoT
framework for sensing landslides at the lab‐scale. The proposed IoT framework offers a promising low‐cost solution for monitoring landslides with a large deployment potential in landslide‐prone areas.