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基于MAP的多态自适应NEMO模型
引用本文:高天寒,郭楠,赵宏. 基于MAP的多态自适应NEMO模型[J]. 通信学报, 2004, 25(3): 65-72
作者姓名:高天寒  郭楠  赵宏
作者单位:东北大学,软件中心,辽宁,沈阳,110004
基金项目:国家“863”高技术研究发展计划基金资助项目(863-317-01-08-99)
摘    要:为实现对移动网络(NEMO)的高效支持,提出了基于MAP的多态自适应NEMO模型,根据节点组成情况将NEMO分为三种状态:稳态、亚稳态、活跃态,结合移动IPv6、MAP及前缀绑定更新实现对三态的自适应支持,并设计多态NEMO通信优化算法对NEMO与外界的通信过程进行优化,提高了NEMO的整体通信效率。

关 键 词:移动网络  移动IPv6  移动锚点  前缀绑定更新  多态NEMO通信优化算法
文章编号:1000-436X(2004)03-0065-08
修稿时间:2003-10-22

A multi-state and self-adapting NEMO model based on MAP
GAO Tian-han,GUO Nan,ZHAO Hong. A multi-state and self-adapting NEMO model based on MAP[J]. Journal on Communications, 2004, 25(3): 65-72
Authors:GAO Tian-han  GUO Nan  ZHAO Hong
Abstract:A multi-state and self-adapting NEMO model based on MAP is presented to support Network Mobility (NEMO) efficiently. NEMO is divided into three kinds of states: stable state, meta-stable state, active state which are supported by the combination of MIPv6, MAP and prefix scope binding update. Moreover, the model optimizes the communication process of NEMO with optimized communication algorithm for multi-state NEMO thus to improve the entire communication efficiency.
Keywords:NEMO  MIPv6  MAP  prefix scope binding update  optimized communication algorithm for multi-state NEMO  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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