适于高动态环境下的随机方向移动模型改进算法研究

 大规模高动态复杂异构网络的研究是一个热点，由于实际部署经验的匮乏，使得仿真成为一种必不可少的手段，移动模型的选取则是仿真验证各种协议性能的关键。随机方向移动模型是一种应用比较广泛的模型，本文在随机方向移动模型基础上，通过变速和分段变速等方法，提出了两种更适于高动态环境下的节点运动特征的移动模型，仿真结果验证了该算法的正确性。

Study on Improved Algorithm of Random Direction Mobility Modeling in High-dynamic Environment

Large-scale,high-dynamic and heterogeneous networks are receiving significant attentions in many researches now.Because of lack of experiences of actual deployment,simulation becomes a necessary means.On the other hand the selection of mobility model is essential to the performance of various protocols.Random direction mobility model is widely-used.On the basis of random direction mobility model,two mobility models that are more suitable for the node mobility characteristics in high-dynamic environment are proposed in this paper,which are via the methods of variable speed and sub-section variable speed.The results of the simulation certificate the algorithm.