Lu Tongliang, Chen Kai, Zhang Yan, Deng Qiling
College of System Engineering, National University of Defense Technology, Changsha 410073, China.
College of Information and Communication, National University of Defense Technology, Wuhan 430014, China.
Entropy (Basel). 2021 Apr 20;23(4):487. doi: 10.3390/e23040487.
Based on the data in real combat games, the combat System-of-Systems is usually composed of a large number of armed equipment platforms (or systems) and a reasonable communication network to connect mutually independent weapons and equipment platforms to achieve tasks such as information collection, sharing, and collaborative processing. However, the generation algorithm of the combat system in the existing research is too simple and not suitable for reality. To overcome this problem, this paper proposes a communication network generation algorithm by adopting the joint distribution strategy of power law distribution and Poisson distribution to model the communication network. The simulation method is used to study the operation under continuous attack on communication nodes. The comprehensive experimental results of the dynamic evolution of the combat network in the battle scene verify the rationality and effectiveness of the communication network construction.
基于实战游戏中的数据，作战体系通常由大量武装装备平台（或系统）以及一个合理的通信网络组成，该通信网络用于连接相互独立的武器装备平台，以实现信息收集、共享和协同处理等任务。然而，现有研究中作战系统的生成算法过于简单，不适合实际情况。为克服这一问题，本文提出一种通信网络生成算法，通过采用幂律分布和泊松分布的联合分布策略对通信网络进行建模。采用仿真方法研究通信节点在持续攻击下的运行情况。战场场景中作战网络动态演化的综合实验结果验证了通信网络构建的合理性和有效性。
