针对PMIPv6协议切换效率较低的问题,该文提出了一种基于网络预测的改进型PMIPv6快速切换力法。该方法在不变更切换决策主体的前提下,通过学习先验切换经验,利用岛一距离加权最近邻算法来预测移动节点的切换目的地;同时采用软转发机制来保护在切换过程中到达移动节点的数据分组。仿真结果表明,改进方’法产牛的切换延迟和分组丢失数量明显少于PMIPv6。
Since the PMIPv6 can not be efficiently operated, an improved fast handover scheme based on network- performed prediction is proposed. Without changing the decision-maker, the handover experience is generated to train the learning system. The k-distance weighted nearest neighbor algorithm is employed to predict the next mobile access gateway and the soft forwarding mechanism is employed to protect the receiving packets during the handover. Simulation results indicate that the proposed scheme can achieve better performance in terms of handover latency and packet loss compared with PMIPv6.