针对水下无线节点不均匀部署导致的覆盖率低的问题,将改进入工蜂群结合虚拟力算法(Improved Artificial Bee Colony-Virtual Force Algorithm,IABC-VFA)用于水下无线网络覆盖中,改进寻优精度不足以及易陷入局部优化的缺点.首先,在初始阶段引入Tent混沌映射产生混沌序列以获得更均匀的搜索空间;其次,在跟随蜂阶段引入虚拟力算法对雇佣蜂阶段生成的解进行蜜源位置优化更新.最后,引入柯西-高斯变异策略变异当前最优解,使其跳出局部最优.仿真实验对比表明,本文提出的IABC-VFA算法比3D-IVFA和DABVF算法分别提高了1.30％和1.63％的覆盖率,节点利用率优于其他2种算法,可应用于三维水下无线传感器网络节点部署.
Research on coverage optimization of underwater wireless sensor networks based on the integration of IABC-VFA
Aiming at the problem of low coverage caused by uneven deployment of underwater wireless nodes,the im-proved artificial bee colony-virtual force algorithm(IABC-VFA)is applied to underwater wireless network coverage,which solves the shortcomings of insufficient optimization accuracy and easy to fall into local optimization.Firstly,the Tent chaot-ic map is introduced in the initial stage to generate chaotic sequences to obtain a more uniform search space;Secondly,Virtu-al force algorithm was introduced in the following bee stage to optimize and update the honey source location of the solution generated in the hiring bee stage.Finally,the Cauchy-Gauss variation strategy is introduced to change the current optimal solution and make it skip the local optimal solution.The proposed IABC-VFA algorithm improves the coverage by 1.30％and 1.63％respectively compared with 3D-IVFA and DABVF algorithm through simulation experiments,and the node util-ization rate is better than the other two algorithms.The experimental results show that the proposed IABC-VFA algorithm can be applied to the node deployment of 3D underwater wireless sensor networks.
underwater sensor networkartificial bee colonyvirtual force algorithmcoverage performance
万方数据
维普
