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
Link To Document