基于改进蜣螂优化算法的海洋牧场三维UWSN覆盖方法OA北大核心CSTPCD

For the environmental monitoring of marine ranching,a 3D underwater wireless sensor net-works coverage method based on improved Dung beetle optimizer(IDBO)is proposed.Firstly,Chebyshev chaotic mapping was added to the DBO population initialization to make population re-sources more balanced in the allocation of search space.Secondly,adaptive weight factor and Levy flight were used to improve the position update mode of Dung beetles,which improved the position search ability and the convergence ability of DBO algorithm.The IDBO algorithm was applied to the UWSN coverage optimization of marine ranching,the simulation results show that the coverage rate of IDBO algorithm is higher than that of random deployment and other intelligent optimization algorithms under different parameter environments,and it achieves higher coverage rate with lower node energy consumption,and the distribution of nodes is more reasonable.