计算机应用 ›› 2014, Vol. 34 ›› Issue (2): 333-337.

• 网络与通信 • 上一篇    下一篇

短波IP广域网建模与仿真

景渊1,黄国策1,杨明2,戚云军1,陈尚华3   

  1. 1. 空军工程大学 信息与导航学院,西安 710077
    2. 93968部队,乌鲁木齐 830075;
    3. 95419部队,西藏 日喀则 857000
  • 收稿日期:2013-07-09 修回日期:2013-09-04 出版日期:2014-02-01 发布日期:2014-03-01
  • 通讯作者: 景渊
  • 作者简介:景渊(1986-),男,陕西延安人,博士研究生,主要研究方向:无线通信组网;黄国策(1962-),男,陕西高陵人,教授,博士生导师,主要研究方向:无线通信组网;杨明(1986-),男,陕西西安人,工程师,主要研究方向:无线通信可靠多播;戚云军(1978-),男,山东武城人,讲师,主要研究方向:无线通信频谱资源管理;陈尚华(1972-),男,四川成都人,工程师,主要研究方向:指挥自动化。
  • 基金资助:
    国家自然科学基金资助项目;国防科技重点实验室基金资助项目

Modeling and simulation for high-frequency IP wide-area network

JING Yuan1,HUANG Guorong1,YANG Ming2,QI Yunjun1,CHEN Shangguang3   

  1. 1. School of Information and Navigation, Air Force Engineering University, Xi'an Shaanxi 710077, China;
    2. Unit 93968, Urumqi Xinjiang 830075,, China
    3. Uint 95419, Shigatse Tibet 857000, China
  • Received:2013-07-09 Revised:2013-09-04 Online:2014-02-01 Published:2014-03-01
  • Contact: JING Yuan
  • Supported by:
    National Natural Science Foundation

摘要: 短波IP广域网在网络运行过程中不同的连接建立方式将使网络展现出不同的拓扑特性。结合修正的大统一混合网络模型对短波IP广域网进行建模研究和仿真分析。发现网络的增长过程中新建边上节点选择方式将会影响网络节点度分布、网络平均最短路径长度和聚集系数大小,同时边删除策略的不同同样会对网络的平均最短路径长度产生影响。而在多种节点选择方式情况下,不同方式所占比例将决定网络拓扑特性的发展方向。

关键词: 短波IP广域网, 复杂网络理论, 度分布, 最短路径, 聚集系数

Abstract: 〖JP2〗With different way of link established, the high frequency IP wide-area network shows a different topological feature during the network operation process. Modeling study and simulation analysis were made with a modified harmonious unifying hybrid preferential model on high frequency IP wide-area network. And the results were found that the degree distribution, shortest path and clustering coefficient would be impacted by the different node selection method for new connection. Mean-while, the average shortest path of the network would be affected by the different edge deletion method. What's more the topological characteristics of the network were determined by the proportion of different node selection method.〖JP〗

Key words: high frequency IP wide-area network, complex network theory, degree distribution, shortest path, clustering coefficient

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