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基于复杂网络理论的空中交通网络脆弱性分析
引用本文:吴佳益,徐开俊,杨泳.基于复杂网络理论的空中交通网络脆弱性分析[J].沈阳工业大学学报,2019,41(6):659-663.
作者姓名:吴佳益  徐开俊  杨泳
作者单位:中国民用航空飞行学院 飞行技术学院, 四川 广汉 618300
基金项目:国家自然科学基金民航联合基金资助项目(U1533127);中国民用航空飞行学院研究生创新项目(X2018-2);中国民用航空飞行学院创新团队支持计划项目(JG2019-15)
摘    要:针对当前空中交通网络节点通信覆盖性能差的问题,提出一种基于复杂网络理论的空中交通网络脆弱性分析方法.采用网络节点分布结构模型与传输信道模型构建多层复杂网络模型,通过自适应时变时延约束误差修正方法对网络节点密度进行优化调整,对空中交通网络节点分布密度融合程度进行跟踪控制,以节点区域覆盖度为约束条件对信息状态向量进行预测,根据控制节点密度函数计算空中交通网络的覆盖能力,通过能量均衡控制方法完成空中交通网络节点的最优部署,实现空中交通网络脆弱性分析.仿真测试结果表明,与传统方法相比,所提方法能提高空中交通网络节点覆盖度,改善网络的通信覆盖性能.

关 键 词:复杂网络  传输信道模型  节点分布结构模型  空中交通网络  密度  脆弱性  节点覆盖度  延约束误差修正  

Vulnerability analysis of air traffic network based on complex network theory
WU Jia-yi,XU Kai-jun,YANG Yong.Vulnerability analysis of air traffic network based on complex network theory[J].Journal of Shenyang University of Technology,2019,41(6):659-663.
Authors:WU Jia-yi  XU Kai-jun  YANG Yong
Affiliation:The Flight Technology College, Civil Aviation Flight University of China, Guanghan 618300, China
Abstract:Aiming at the problem of poor communication coverage ability of air traffic network nodes, a vulnerability analysis method for air traffic network based on complex network theories was proposed. A complex multi-layer network model was established using both distribution structure model and transmission channel model for network nodes, and the density of network nodes was optimized and adjusted with the self-adaptive time-varying delay-constraint-error correction method. The fusion degree of distribution density of air traffic network nodes was tracked and controlled, and the information state vector was predicted by taking the node area coverage as constraint condition. The coverage capacity of air traffic network was calculated according to the density function of control nodes, and the optimal deployment of air traffic network nodes was completed with the energy balance control method to realize the vulnerability analysis of air traffic network. The results of simulation test show that the as-proposed method can improve the coverage of air traffic network nodes and enhance the communication coverage ability of network in comparison with traditional methods.
Keywords:complex network  transmission channel model  node distribution structure model  air traffic network  density  vulnerability  node coverage  delay-constraint-error correction  
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