A distributed UAV network coverage optimization algorithm is proposed for the hotspot coverage coverage optimization scenario in the nonuniform target area. Firstly, the number of minimum UAV nodes that satisfy the network connectivity and the coverage of the hotspot area are estimated. Secondly, the hotspot information is added to improve the location update equation of the cuckoo algorithm and the optimization objective function is reconstructed. Then the adaptive probability parameters are adaptively adjusted. Finally, the key optimization of hotspot area coverage is achieved. In the simulation experiment analysis, compared with the standard cuckoo algorithm and other classical algorithms in the same simulation environment, the results show that the coverage of the hotspot area of the proposed algorithm is improved by about 4% compared with other algorithms, and the number of iterations is reduced by about 30 times. It is proved that the algorithm has fast convergence speed and less time, which can improve the coverage of hotspots more effectively.