An adaptive back-off strategy based on Q-Learning and deep neural network is proposed to improve the communication performance of MAC protocol based on competition for unmanned aerial vehicle self-organizing network. In the experiment, Matlab is used as the simulation platform to compare the performance of adaptive back-off strategy and binary exponential back-off strategy.