Fuzzy Logic Decision Module for LoRa at 2.4 GHz Adaptive Network Deployment

Long Range (LoRa) technology is a Low Power Wide Area Network (LPWAN) alternative for IoT applications. It connects devices, things, or node sensors to a gateway and then to the cloud through broadband connections. LoRa technology offers several degrees of freedom on its configuration parameters such as transmission power (PTx), spreading factor (SF), bandwidth (BW), and coding rate (CR) for different applications and use cases. According to the application, the transceiver LoRa parameters must be set up. Moreover, these parameters must be adapted or reconfigured to the current channel state, network deployment state, and optimization policies such as minimizing the node sensors' energy consumption or maximizing the Packet Delivery Ratio (PDR). This paper proposes a fuzzy logic decision module to select the optimal configuration when conditions are changing. Rules are defined based on energy consumption and communication distance simulations using LoRa transceivers SX1280 at 2.4 GHz. We found that the decision module attributes configuration values to fit maximum communication distance while optimizing energy consumption on the node sensor.