Robustness of double-layer group-dependent combat network with cascading failure
Jintao Yu, Bing Xiao, Yuzhu Cui

TL;DR
This paper models a double-layer combat network to analyze its robustness against cascading failures, revealing how dependency tolerance and node capacity enhancements can improve resilience in military network systems.
Contribution
It introduces a realistic double-layer dependent combat network model considering conditional group dependencies and failure rules, advancing understanding of network robustness in military contexts.
Findings
Increasing dependency tolerance improves robustness.
Enhancing node capacity reduces cascading failures.
Adjusting overload tolerance limits enhances network resilience.
Abstract
The networked combat system-of-system (CSOS) is the trend of combat development with the innovation of technology. The achievement of combat effectiveness requires CSOS to have a good ability to deal with external interference. Here we report a modeling method of CSOS from the perspective of complex networks and explore the robustness of the combat network based on this. Firstly, a more realistic double-layer heterogeneous dependent combat network model is established. Then, the conditional group dependency situation is considered to design failure rules for dependent failure, and the coupling relation between the double-layer subnets is analyzed for cascading failure. Based on this, the initial load and capacity of the node are defined, respectively, as well as the load redistribution strategy and the status judgment rules for the cascading failure model. Simulation experiments are…
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Taxonomy
TopicsOpportunistic and Delay-Tolerant Networks · Complex Network Analysis Techniques · Mobile Ad Hoc Networks
