Abstract
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.
Highlights
Nodes constitute a network formed by the interaction of energy flow, information flow, and material flow
The combat system is composed of a large number of combat platforms or systems, and a reasonable communication network must be established to achieve the combat system with integration of energy flow, information flow, and material flow
For communication nodes with command spans, as the number increases, after the hub node connected to the central node is destroyed, a cascade failure [31] occurs in the combat network
Summary
Tan et al [7] advance the research on the networks loop model by researching the common structure of a network of a combat system, which consists of reconnaissance forces, a command department, attack forces, and target connected together by a reconnaissance network, command and control network, and engagement network They provide a deeper analysis of Cares’ efficiency evaluation model based on an adjacency matrix and indicate two defects of Cares’ model [8]: first, a static model cannot reflect the dynamic changes of network structure during the operation; second, many nodes may belong to more than one classes, for example, fighter planes can be sensors, influencers, and even deciders, and most nodes can possibly be targets of enemy. SoS, and using the joint distribution strategy of power law distribution and Poisson distribution to model the communication network; Using simulation methods to study the changes in the combat network under continuous attacks on communication nodes; Using the method of control experiment to verify the rationality and effectiveness of the communication network modeling, which provides a reference value for the construction of the communication network topology in war
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