Chinese Journal of Ship Research, Volume. 17, Issue 4, 220(2022)

Analysis of structure modeling and optimization of complex network of warship damage control command information system

Bing SAN, Yue HOU, Jinyun PU, and Kangbo WANG
Author Affiliations
  • College of Power Engineering, Naval University of Engineering, Wuhan 430033, China
  • show less

    Objectives

    The suddenness and rapidity of modern warship disasters have significantly intensified, and higher requirements have been put forward for the information level of the damage control (DC) command network. Based on the complex network characteristic analysis of a DC command information system, its network topology model is constructed.

    Methods

    Aiming at the shortcomings of the current model, based on the stochastic networking method and considering the node attributes of the DC command information network and the cost of increasing network density, a structural optimization method for optimal stochastic networking is proposed, and the specific optimization process is demonstrated by case simulation.

    Results

    The results show that the command and facilities subnets have different influences on network performance, and the improved random networking method performs better than the traditional random method in network structure optimization.

    Conclusions

    Subsequent research can start by changing the connection mode between subnets to solve the problem of the terminal node of the command subnet being too high, thereby further improving the comprehensive performance of the DC command information network.

    Tools

    Get Citation

    Copy Citation Text

    Bing SAN, Yue HOU, Jinyun PU, Kangbo WANG. Analysis of structure modeling and optimization of complex network of warship damage control command information system[J]. Chinese Journal of Ship Research, 2022, 17(4): 220

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Weapon, Electronic and Information System

    Received: Jul. 2, 2021

    Accepted: --

    Published Online: Mar. 26, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02441

    Topics