现代防御技术 ›› 2018, Vol. 46 ›› Issue (4): 60-66.DOI: 10.3969/j.issn.1009-086x.2018.04.010

• 指挥控制与通信 • 上一篇    下一篇

多属性加权的指挥控制网络建模方法研究

潘成胜1,2, 熊文1, 邱少明1, 王运明1,2, 陈波1   

  1. 1.大连大学 通信与网络重点实验室,辽宁 大连 116622;
    2.南京理工大学 自动化学院,江苏 南京 210094
  • 收稿日期:2017-11-19 修回日期:2017-12-04 出版日期:2018-08-30 发布日期:2020-11-25
  • 作者简介:潘成胜(1962-),男,江苏宜兴人。教授,博士,主要从事计算机网络、一体化指挥控制网络理论等研究。通信地址:116622 辽宁省大连市经济技术开发区学府大街10号大连大学 E-mail:wang19871128@126.com

Modeling Method of Command and Control Network Based on Multi-Attribute Weighting

PAN Cheng-sheng1,2, XIONG Wen1, QIU Shao-ming1, WANG Yun-ming1,2, CHEN Bo1   

  1. 1. Dalian University,Communication and Network Laboratory,Liaoning Dalian 116622,China;
    2. Nanjing University of Science and Technology,School of Automatic,Jiangsu Nanjing 210094,China
  • Received:2017-11-19 Revised:2017-12-04 Online:2018-08-30 Published:2020-11-25

摘要: 针对现有基于指控网络模型中的边连接方法仅能反映局部网络节点的重要性、且仅注重网络连通性难以很好体现网络局部特征的不足,提出了一种基于多属性加权的指挥控制网络模型构建方法。首先,定义节点自身属性有指控能力、节点任务相关程度、空间距离;其次,将度和介数相结合,综合考虑网络局部、网络全局特征以表达节点的网络属性,在与自身属性加权结合下设计了多属性加权的指控网络边连接策略算法。仿真结果表明,该策略建立的指控网络模型满足无尺度特性,具有更高的网络效率和更强的网络抗毁性。

关键词: 指挥控制网络, 复杂网络, 建模, 多属性, 加权, 边连接策略

Abstract: The existing edge connection method based on C2 (command and control) network model can only reflect the importance of local network nodes and only focus on the network connectivity, so it is difficult to reflect the lack of network local features. To solve this problem, a method of constructing command and control network model based on multi-attribute weighting is proposed. The node own attributes including command capability, and node task related degrees and spatial distance are defined. The degree and the betweenness are combined, and the local and global characteristics of the network are considered comprehensively to express the nodes' network properties. Combined with self-attribute weighting, command and control network edge-link strategy algorithm based on multi-attribute is designed. The simulation results show that the proposed network model has the characteristics of free-scale, higher network efficiency and stronger network invulnerability.

Key words: command and control network, complex network, model, multi-attribute, weighted, edge-link strategy

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