Automated Real-Time Uplink and Downlink Data Acquisition in LoRaWAN Base Stations

The increasing adoption of Internet of Things (IoT) devices, coupled with the transition to Industry 4.0, has highlighted the necessity of evaluating LoRaWAN performance in complex geographical environments. This study presents an automated system for assessing LoRaWAN coverage in mountainous regions. The system addresses critical performance parameters such as Received Signal Strength Indicator (RSSI), Signal-to-Noise Ratio (SNR), transmission power, velocity, and data transmission intervals. The proposed methodology integrates qualitative and quantitative approaches in three phases: Analysis, Implementation, and Evaluation. The system is deployed in urban and rural regions of southern Ecuador, where real-time data acquisition enables both uplink and downlink performance assessment. The results demonstrate the feasibility of automating LoRaWAN coverage evaluation, minimizing manual intervention, and enhancing network monitoring efficiency. The findings support the optimization of IoT deployments in challenging terrains, facilitating improved communication reliability and scalability.