• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2025, Vol. 47 ›› Issue (12): 2150-2159.

• 计算机网络与信息安全 • 上一篇    下一篇

网络战环境下的通信网络结构及负载配置研究

李勇慧,吴雨悦,邓凤贤,司守奎,赵文飞


  

  1. (海军航空大学,山东 烟台 264001)

  • 收稿日期:2024-05-04 修回日期:2024-07-29 出版日期:2025-12-25 发布日期:2026-01-06

Research on communication network structure and load configuration in the context of cyber warfare

LI Yonghui,WU Yuyue,DENG Fengxian,Si Shoukui,ZHAO Wenfei   

  1. (Naval Aviation University,Yantai 264001,China)
  • Received:2024-05-04 Revised:2024-07-29 Online:2025-12-25 Published:2026-01-06

摘要: 网络战环境下,军事通信网络的结构设计与负载配置需要着重考虑预防和应对节点或边损坏的不利情况,节点间通信需求的满足程度是评价网络性能的合适指标。为此,定义了网络负载富余度的概念,考虑预先设置备份路径以应对网络受打击后的功能损失情况,以减小通信路径跳数、增大和均衡各路径富余度为网络设计目标,创新性地将复杂的军用网络负载配置问题通过一个逐步动态规划路径的最小跳数路径搜索模型和一个较为简单的双目标规划模型解决,提出的路径与负载设计算法相比已有研究更加贴合军事网络设计需求。通过算例仿真,对比验证了算法在给定网络环境下的普适性与优越性,并且就当前算法分别提出进一步寻找最优解的建议和针对复杂大型网络减小运算难度的改进方向。

关键词: 网络负载配置, 军事通信网络, 富余度, 备份路径, 最小跳数路径搜索, 双目标规划

Abstract: In the context of cyber warfare, the structural design and load configuration of military communication networks should prioritize the prevention and management of node or edge damage. The satisfaction degree of communication requirements among network nodes is an appropriate metric for evaluating network performance. Therefore, this paper proposes the concept of surplus degree, which considers setting up alternate paths in advance to cope with the loss of network functionality. The goal of network design is to reduce the number of hop counts in communication paths and to increase and balance their surplus degree. This paper address the complex military network load configuration problem through the use of a minimal hop count path searching model, which plans paths incrementally, along with a relatively straightforward bi-objective programming model. The proposed path and load design algorithm is more in line with the characteristics and requirements of military network design compared to existing research on network load configuration. Through numerical simulations, the algorithm’s universality and superiority in a given network environment were compared and verified. Suggestions are then made to further optimize the current algorithm in order to find the optimal solution and to reduce the computational complexity for complex large-scale networks. 

Key words: network load configuration, military communication network, surplus degree, alternate path, minimal hop count path search, bi-objective programming