[1]李朋,韩松臣,余丽莎,等.基于复杂网络视角的导航台设备网络鲁棒性分析[J].计算机技术与发展,2018,28(12):127-131.[doi:10．3969／j．issn．1673—629X．2018．12．027]
　LI Pen,HAN Songchen,YU Lisha,et al.RobustnessAnalysisofNavigationStationEquipmentNetwork Based on Complex Network[J].,2018,28(12):127-131.[doi:10．3969／j．issn．1673—629X．2018．12．027]
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基于复杂网络视角的导航台设备网络鲁棒性分析()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年12期
页码:
127-131
栏目:
应用开发研究
出版日期:
2018-12-10

文章信息/Info

Title:
RobustnessAnalysisofNavigationStationEquipmentNetwork Based on Complex Network
文章编号:
1673—629X(2018)12—0127-05
作者:
李朋1; 韩松臣1; 余丽莎1; 朱新平1; 2; 全嘉钰1
1．四川大学空天科学与工程学院，四川成都610065；2．中国民用航空飞行学院空中交通管理学院，四川广汉618307
Author(s):
LI Pen1; HAN Song—chen1; YU Li—sha1; ZHU Xin—pin1; 2; QUAN Jia-yu1
1．School of Space Science and Engineering，Sichuan University，Chengdu 610065，China；2．School of Air Traffic Management，Civil Aviation Hight University of China，Guanghan 618307，China
关键词:
复杂网络; 导航台设备网络; 鲁棒性; 贡献矩阵; 负载
Keywords:
complex network; navigation station equipment; robustness; contribution matrix; load
分类号:
N949
DOI:
10．3969／j．issn．1673—629X．2018．12．027
摘要:
对导航台设备网络频繁遭受突发事件影响的情况，构建以空管技术保障系统中导航设备覆盖的航路结构为基础的网络模型，提出一套完备的鲁棒性研究指标集，包括设备网络的节点保障效率、网络效率、最大连通子集规模、单一节点鲁棒性评估值等，从网络功能和结构两个角度对导航台设备网络进行鲁棒性分析。选取中国航空发展典型地区一西南地区为论证对象，得到：飞行流量的控制可以保障导航台节点的负载控制在极限负载内，提高导航台设备网络的鲁棒性；导航台设备网络对随机攻击鲁棒性最高，网络是无标度网络；攻击数目在5—13个导航台节点时，节点介数攻击导致网络效率降低最快，对网络连通性破坏最大。融合相邻导航台节点贡献作用的导航台节点鲁棒性评估值近似服从幂律分布。
Abstract:
For navigation station equipment network frequendy suffered the impact of emergency，we construct a network model based on air route structnre ofnavigation equipment coverage in the technical support system，and put forward a set of complete indexes including equipment network node guarantee efficiency，network efficiency，the maximum connected subset scale，single node robustness evaluation value．The robustness of the network is analyzed from network function and strocturc．The Southwest of China，the typical area of Chinese aviation development，is taken as the object of demonstration．The results show that the control of flight flow Can ensure the control of the working load of nodes in the limit load and improve the robustness of the navigation station equipment．The network of navigation station equipment is the most robust to random attack．When the number ofattacks is between 5 to 13 navigation station nodes，the nodal number attack leads to the fastest reduction of network efficiency and the greatest damage to network connectivity．The estimated values of the robusmess of the adjacent navigators are approximately subject to the power—law distribution．

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更新日期/Last Update: 2018-12-10