分级移动IPv6中一种新的自适应MAP选择算法*

分级移动IPv6中存在单点故障和负荷集中问题。提出一种基于分布式MAP结构的自适应MAP选择算法，综合考虑移动节点的当前速度、会话到达率、MAP负荷及距离等因素，以MN注册后将产生的移动性管理信令开销最小为依据进行选择。仿真结果表明，自适应MAP选择算法能够根据移动节点和网络的当前特性优化地选择不同的MAP进行注册，使移动性管理信令开销最小，具有较好的负荷分担效果，并一定程度上增强了分级结构的鲁棒性。与最远/近MAP选择方案相比，自适应MAP选择算法能够提高网络的吞吐量及减少平均切换时延。

Novel Adaptive MAP Selection Algorithm for Hierarchical Mobile IPv6

There exist the problems of the single point of failure and load convergence in hierarchical mobile IPv6.An adaptive MAP selection algorithm is proposed based on the distributed MAP architecture,which takes multiple factors into consi-(deration) such as MN's up-to-date velocity and session arrival rate,MAP's load and distance.This algorithm selects the proper MAP according to the criteria of minimizing the signaling cost associated with mobility management.The simulation results show that the adaptive MAP selection algorithm can optimally select the MAP for different mobile nodes,balance the MAP's loads and increase the robustness of hierarchical structure at some extent.When compared with the furthest/nearest MAP selection schemes,the adaptive MAP selection algorithm can reduce the average handover latency and increase the throughput of the visited network.