中山大学学报（自然科学版）（中英文）2024，Vol.63Issue(2)：115-122,8.DOI:10.13471/j.cnki.acta.snus.2023B063
基于改进蜣螂优化算法的海洋牧场三维UWSN覆盖方法
3D UWSN coverage method for marine ranching based on improved Dung beetle optimization algorithm
摘要
Abstract
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.关键词
海洋牧场/水下无线传感器网络/Chebyshev混沌映射/自适应权重因子/Levy飞行Key words
marine ranching/UWSN/Chebyshev chaotic mapping/adaptive weight factor/Levy flight分类
通用工业技术引用本文复制引用
付雷,王骥..基于改进蜣螂优化算法的海洋牧场三维UWSN覆盖方法[J].中山大学学报（自然科学版）（中英文）,2024,63(2):115-122,8.基金项目
广东省普通高校重点领域新一代信息技术专项(2020ZDZX3008) （2020ZDZX3008）
广东省人工智能领域重点专项(2019KZDZX1046) （2019KZDZX1046）
