Research on Optimal Collaborative Relay Selection Method for Unmanned Aerial Vehicle Power Inspection Communication
A large amount of data transmission is required in power inspection tasks,which is prone to transmission errors or data delays,thus affecting the detection and monitoring of power equipment.The optimal collaborative relay selection method for unmanned aerial vehicle power inspection communication based on reinforcement learning is designed.The transmission rates of different communication channels in the communication network are calculated by counting the set of communication states,and the corresponding state space of unmanned aerial vehicle power inspection communication is constructed.The corresponding reward function is set,and reinforcement learning is used to update the optimization matrix in the communication network.The corresponding communication optimal collaborative relay selection strategy is formulated,and the optimal selection of relay nodes is realized by calculating the capacity increment of the communication network and the communication delay.Through simulation analysis,the proposed method has an average throughput of 1 012.3 bit/s,and the practical application efficiency is high.The application of this method can effectively reduce the probability of data transmission error or data delay in power inspection tasks.
万方数据
维普
