作　　者： (张国敏）; (王娜）; (王睿）; (陈秋丽）; (刘方鑫）;

机构地区： 解放军理工大学指挥信息系统学院

出　　处： 《北京邮电大学学报》 2017年第S1期112-116,共5页

摘　　要： 无人机(UAV)机载网络的性能紧密地依赖于所釆用的移动模型中节点的移动方式,移动模型及其参数的选择也对其仿真结果具有重要意义.在三维高斯马尔可夫移动模型(3D-GMM)的基础上增加了基于访问密度的移动牵引,提出了一种基于访问密度的新型三维高斯半马尔可夫移动模型(3D-VDGMM).仿真实验表明3D-VDGMM能够很好地对UAV的移动进行模拟,且相比于3D-GMM能够有更高的事件捕获率. The network performance of unmanned aerial vehicle( UAV) airborne is closely relied on the movement of the mobile nodes which is decided by the mobility mode. And the selection of mobility model and its parameters is of great significance to the simulation results. Based on the three-dimensional Gauss Markov mobility model( 3D-GMM),this paper expands GM by using visit density,and proposes a new three-dimensional Gauss markov mobility model based on visit density( 3D-VDGMM). The results show that 3D-VDGMM can simulate the movement of UAVs well and have higher event capture rate compared to 3D-GMM.

关 键 词： 移动自组织无线网络 无人机 移动模型 访问密度