Methods and systems for managing remote terminal communications in remote Supervisory Control and Data Acquisition (SCADA) and telemetry networks. Reinforced machine learning processes header data of multiple messages received from remote data radios to predict which of the data radios are currently ready with a response to transmit based on or using information associated with a learned time delay. Time on shared wireless channels is efficiently allocated to the data radios that are currently ready with the response.