Landslides, triggered by heavy rains, constitute globally impactful natural disasters that wreak havoc on both people and infrastructure. It is crucial to develop predictive systems and efficient alerts, incorporating technologies such as the Internet of Things (IoT) to gather environmental data and prevent significant losses. Therefore, the aim of the study was to design and develop an early warning system for landslides using a microcontroller-based wireless sensor network. A digital rocker rain gauge and the MPU 6050, DHT22 and FC-28 sensors were employed. These sensors were distributed at nodes along the Quebrada del Diablo in the city of Tacna. The values captured at each node were processed by the DEVKIT V1 NodeMCU-32 development board, based on the ESP32 microcontroller, and transmitted to a central node through a ZigBee mesh network using Digi's XBee3 devices. The central node wa...