Evolution model of weighted command and control network based on local world

被引:4
|
作者
Wang Y. [1 ,2 ]
Pan C. [1 ,2 ]
Chen B. [2 ]
Zhang D. [2 ]
机构
[1] School of Automatic, Nanjing University of Science and Technology, Nanjing
[2] Communication and Network Laboratory, Dalian University, Dalian
关键词
Command and control network; Complex network; Dynamic evolution; Edge-weight evolution; Local world;
D O I
10.3969/j.issn.1001-506X.2017.07.24
中图分类号
学科分类号
摘要
To dynamic assess the internal mechanism and external behavior of command and control (C2) network when facing complex tasks and confrontation environment, the dynamic characteristics of C2 network are analyzed with the complex network theory, the heterogeneity between the network entity and the network structure of C2 are comprehensively considered, and a multi-attribute weighted C2 network model is established. Rules for add or delete nodes and edges, local world and the evolution of edge weight are set up. And an evolution model of the weighted C2 network based on local world is proposed. Simulation results show that this model is closed to the battlefield, follows the power distribution, and has high combat efficiency, which provide a theoretical basis for the network construction of the C2 system. © 2017, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码:1596 / 1603
页数:7
相关论文
共 34 条
  • [1] Jannson T., Forrester T., Bayesian trothing as experimental verification of C4ISR sensors, Proc. of the Sensors and Command, Control, Communications, and Intelligence Technologies for Homeland Security, Defense, and Law Enforcement XIV, pp. 1-12, (2015)
  • [2] Nam H., Lee T., Modeling and simulation for evaluating the C3 structure in a NCW mission environment, Proc. of the Winter Simulation Conference, pp. 3204-3205, (2015)
  • [3] Piaszcyk C., Model based systems engineering with department of defense architectural framework, Systems Engineering, 14, 3, pp. 305-326, (2011)
  • [4] Barabasi A.L., Albert R., Emergence of scaling in random networks, Science, 286, pp. 509-512, (1999)
  • [5] Bianconi G., Barabasi A.L., Topology of evolving networks: local events and universality, Physical Review Letters, 5, 24, pp. 5234-5238, (2000)
  • [6] Bianconi G., Barabasi A.L., Bose-einstein condensation in complex networks, Physical Review Letters, 86, 24, pp. 5632-5635, (2001)
  • [7] He M.H., Zhang D.M., Wang H.Y., Et al., Public opinion evolution model with the variable topology structure based on scale free network, Acta Physica Sinica, 59, 8, pp. 5175-5181, (2010)
  • [8] Dekker A.H., Analyzing C2 Structures and self-synchronization with simple computational models, Proc. of the 16th International Command and Control Research and Technology Symposium, pp. 12-14, (2011)
  • [9] Hu B., Li F., Zheng J.H., Research on warship fleet NCW model based on complex network, Journal of System Simulation, 22, 8, pp. 1960-1964, (2010)
  • [10] Du W., Liu Z., Xiu B.X., Command and control network modeling and efficiency measure based on capability weighted-Node, Proc. of the 9th IEEE International Conference on Dependable, Autonomic and Secure Computing, (2011)