The invention relates to an adaptive scheduling method for sensor nodes in an advanced metering system network, and the method builds a scheduling table based on a reinforcement learning algorithm. All sensor nodes carry out exploration at a lower probability according to the scheduling table. If a better result is found, the scheduling table is updated, thereby achieving the adaptive learning and scheduling of sensor nodes in the advanced metering system network, improving the energy efficiency of sensor nodes at all positions, reducing the energy consumption of sensor nodes, and prolonging the survival time of sensor nodes.