中文摘要：

提出了一种基于隐马尔柯夫模型的移动预测模型,并给出增强模型预测能力和提高预测精度的方法。该模型用于预测移动IP网络中移动节点的运动方向和将要连接的接入路由器,为避免或减小由于移动造成的通信中断和时延赢得准备时间。仿真结果说明,模型的预测准确率较高,在适当选择状态数的条件下,模型对移动的随机性具有较好的适应能力。

英文摘要：

A movement prediction model based on HMM and methods that could enhance predicting ability and accuracy were proposed. In order to win the time for avoiding or decreasing the communication interrupt and latency caused by movement, the model aims to predict the movement direction of the mobile node in mobile IP network and the access router which the mobile node is going to attach to. The simulation results indicate that the prediction exactness rate of the model is higher and the model has better adapting ability to the randomicity of movement under the condition of proper number of states.