Communities exposed to landslide risk in low and middle-income countries seldomly have access to instruments to monitor slopes to provide a warning of instability because existing techniques are complex and expensive. Research and field trials have demonstrated that acoustic emission (AE) monitoring can be an effective approach to detect accelerating slope movements and to subsequently communicate warnings to users. The purpose of this project is to design, test, build, and implement a network-based landslide detection system along with an early warning system. The system will have the capability of monitoring and predicting a landslide and the ability to trigger an alarm to warn residents. This report describes the concepts consideration, the system overview, the sensor node, and the base station. Due to design specifications constraints, and global supply crisis, the students were not able to select an adequate sensor. The project resulted in the successful creation of a base station and network communication. While the inspiration for this project is a landslide detection system, similar systems that require low power long distance sensor networks could also utilize this project as a framework.