The frequency of riverbank landslides in the Mekong Delta, Vietnam, has recently increased, causing serious damages to people and properties. The increasing density of infrastructure and roads along the riverbanks has an impact on the changes of ultimate stresses and horizontal displacements of the limited ground causing riverbank landslides. However, there has been no specific study on evaluating the horizontal pressure in the sliding mass under the effect of the load and the hori zontal displacements of soil mass causing riverbank landslides. In this paper, the authors present the design and implementation of an IoT-based system to monitor the displacement of riverbank soil mass under the influence of load. Inclinometers, soil moisture sensors, and soil pressure transducers were employed to monitor the soil mechanical parameters in real time at the experimental site. Preliminary results show that the measured data of the horizontal ground pressure in the sliding mass agree well with those measured by the Kyowa measuring instrument. The results obtained in this study can be used to build landslide prediction models and early warning systems for riverbank failure in the Mekong Delta region.