• DocumentCode
    578365
  • Title

    Study on node importance of complex network based military Command Control networks

  • Author

    Liu, Jin-xing ; Chen, Shao-dong ; Ang, Yan-gao W.

  • Author_Institution
    Dept. of Airborne Weapon, PLAAF, Xinyang, China
  • Volume
    3
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    920
  • Lastpage
    923
  • Abstract
    How to find the key nodes in the military Command Control (C2) networks and destroy it are critical to paralyze the enemy C2 networks in battlefield. In this paper, the topological model military C2 network is modeled by means of complex networks theory under the base of analyzing the connection feature and the function of the node in C2 network; then the characteristics of the C2 networks are presented, such as the information transmission amount, transmission efficiency, and the information control capability. Finally, an evaluating algorithm of node importance for the C2 network is proposed based on the C2 relation, function of the nodes and the properties of the network. The simulation result shows that the method of node importance proposed in this paper is effective and the calculating time can be decreased with the increase of the number of the Operation node, and therefore can provide a reference for making network attack decision.
  • Keywords
    command and control systems; complex networks; decision making; network theory (graphs); C2 relation; complex network theory; connection feature; information control capability; information transmission amount; information transmission efficiency; military C2 networks; military command control networks; network attack decision making; node importance evaluation algorithm; operation node; topological model; Abstracts; Facsimile; Reconnaissance; Time division multiple access; C2 networks; Combat; Complex network; Node importance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6359476
  • Filename
    6359476