Research on the Optimization Strategy of Command and Control System Based on Complex Network Theory
Authors: 
Tengda Li, Gang Wang, Chong Du, Qiang Fu, Xiangyu LiuAuthors Info & Claims
Tengda Li, Gang Wang, Chong Du, Qiang Fu, Xiangyu LiuAuthors Info & ClaimsPages 275 - 280
Abstract
To deeply analyze the characterization and destruction resistance of the command and control (C2) system, based on the complex network theory, a model of the C2 system is established. The network model of the C2 system is attacked using the method of real-time attack, and it is found that the network is more sensitive to the deliberate attack method and performs poorly. The node-degree based edge-adding method is proposed to enhance the destructibility of the network, and it is found that the policy of low-degree edge-adding method can effectively increase the destructibility of the C2 network system to a certain extent.
References
[1]
Mu Ch P, Gong P and Zhang R H. Military communication network technology. 2016. Beijing: Beijing Institute of Technology Press.
[2]
Hu X F. Overview of warfare complexity network research. Complex Systems and Complexity Science, 2010. (7): 27-28.
[3]
Papakostas D, Basaras P, Katsaros D and Tassiulas L. Backbone formation in military multi-layer ad hoc networks using complex network concepts. 2016. Military Communications Conference. IEEE, 842-848.
[4]
Blaser H, Hoge G and Pugin B. 2010.The Application of Complex Network Theory in the Military Domain. National Defense Science & Technology.
[5]
Zheng Y, Liu X Y, Liang J Q, Qiu Y J and Shi B Z. Research on new system combat accusation system. 2022. Chinese Command and Control Society. Proceedings of the Tenth China Command and Control Conference (Previous Book). Weapon Industry Press, 306-311.
[6]
Ai X. Node Importance Ranking of Complex Networks with Entropy Variation. 2017. Entropy, 19(7):303.
[7]
Run-Nian M A, Wang B, Wang G, Guo X C and Liu W B. 2017. Evaluation Method for Node Importance in Communication Network Based on Mutual Information. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 45(3):747-752.
[8]
Guo, Sh Z, Lu and Zh M. Fundamental theory of complex networks. 2012. Beijing: Science Press.
[9]
Watts D and Strogatz S. Collective dynamics of 'small-world' networks (see comments). 1998. Nature, 393(6684): 440-442.
[10]
Guo Z, Hao M, Yu B and Yao B Zl. Detecting delay propagation in regional air transport systems using convergent cross mapping and complex network theory. 2022. Transportation Research Part E: Logistics and Transportation Review, 157.
[11]
Xu F, Zhu JF and Miao JJ. Robustness study of air-iron composite networks based on complex networks. 2015. Complex Systems and Complexity Science, 12(01):40-45.
[12]
Wu T. Analysis of connectivity reliability of urban rail transit network based on complex network. 2019. Nanjing University of Science and Technology.
[13]
Shen J and Huang S. Copper cross-market volatility transition based on a coupled hidden Markov model and the complex network method. Resources Policy, 2022, 75:102518.
[14]
Zhi Y, Ouyang H and Xue M. 2022. A research on driver nodes identification in Chinese interbank networks: based on the controllability theory of complex network. Applied Economics Letters, 29.
[15]
Colin F, Vaquero-Sedas M I, MD Cubiles, Michael Thompson, Alejandro Vega-Vaquero, Matteo Pellegrini and Miguel A Vega-Palas. 2022. A complex network of interactions governs DNA methylation at telomeric regions. Nucleic Acids Research, (3):3.
[16]
Wang T, Li H and Huang Y. 2021.The complex ecological network's resilience of the Wuhan metropolitan area. Ecological Indicators, 130(1): 108101.
[17]
Zhang W, Pei W and Guo T. An efficient method of robustness analysis for power grid under cascading failure. Safety Science, 2014, 64: 121-126.
[18]
Sun C Y, Shen M X, Sheng H and Xiao J K. 2017.Optimization design of structure invulnerability for air defense multiple sensor network. Journal on Communications, 38(06):118-126.
[19]
Gang J X, Xiong-Bing Y E and Wang W. 2019. Hypernetwork modeling research on carrier formation Figurehting SoS. Ship Science and Technology,41(09):6-11.
[20]
Lei C, Kou Y X and Wu C. 2018. Empirical research on complex networks modeling of combat SoS based on data from real war-game, Part I: Statistical characteristics. Physica, A. Statistical mechanics and its applications, 490: 754-773.
[21]
Liu T L, Yang Zh R, Zhang, H, Teng X Y and Liu J. Modeling and performance analysis of military communication networks based on complex networks. Systems Engineering and Electronics Technology, 2020, 42(12):2892-2898.
[22]
Yang G, Zhang W, Xiu B, Liu Z and H J C. 2014. Key potential-oriented criticality analysis for complex military organization based on FINC-E model. Computational & Mathematical Organization Theory, 20(3):278-301.
[23]
J. Chen, C. Touati and Q. Zhu. Optimal secure two-layer IoT network design. 2019. IEEE Transactions on Control of Network Systems. 7(1) :398–409.
[24]
Lan Y S, Deng K B, Mao Sh J, Wang H, Yi K and Lei M. 2015. Adaptive evolvement of information age C4ISR structure. Journal of Systems Engineering and Electronics, 26(02),301-316.
Index Terms
- Research on the Optimization Strategy of Command and Control System Based on Complex Network Theory
Recommendations
Surveying Emerging Network Approaches for Military Command and Control Systems
This survey paper examines emerging network approaches for military Command and Control (C2) systems. An extensive literature review is provided along the text on network-centric C2 systems. Also, it provides a comprehensive analysis of the paradigm based ...
Measure of invulnerability for command and control network based on mission link
In Command and Control (C2) network, the measure of invulnerability mainly focuses on structural characteristics of the network, where the operational mission has not been adequately considered. As a result, it becomes difficult to assess the ...
Comments
Information & Contributors
Information
Published In
March 2024
676 pages
ISBN:9798400718212
DOI:10.1145/3672919
Copyright © 2024 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 July 2024
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
CSAIDE 2024
CSAIDE 2024: 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy
March 1 - 3, 2024
Nanjing, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 23Total Downloads
- Downloads (Last 12 months)23
- Downloads (Last 6 weeks)3
Reflects downloads up to 05 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format