Reinforcement learning-based sensor data management method and system

A processor-implemented reinforcement learning-based sensor data management method, comprising:

• preparing, by a reinforcement learning-based sensor data management system, virtualized objects that correspond to sensors included in a sensor network to update data received from each of the sensors and queries representing a data quality requested by an application;
• calculating, by the reinforcement learning-based sensor data management system, an abstracted action that abstracts a size of an action space of the sensor network based on present state information of the virtualized objects and the queries;
• calculating, by the reinforcement learning-based sensor data management system, scores for the virtualized objects based on position relationships between the calculated abstracted action and the virtualized objects;
• and
• assigning, by the reinforcement learning-based sensor data management system, priorities to the virtualized objects based on the calculated scores to update data received from the sensors to the virtualized objects according to the priorities.