Command and control network cascade failure model construction method based on node importance
A node importance, command and control technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve problems in the preliminary stage, the importance does not consider the contribution of neighboring nodes, and affects the cascading invulnerability of the network , to achieve the effect of accurately setting the height and improving the cascading invulnerability
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Embodiment 1
[0061] A method for constructing a command and control network cascading failure model based on node importance, the specific steps are as follows:
[0062] S1: Define the initial load of the node, specifically: for the existing cascading failure model, only the importance of the node itself is considered, and the contribution of neighboring nodes is not considered, which makes the initial load definition accuracy low and affects the cascading invulnerability of the network Problem, the present invention proposes an initial load definition method based on the contribution degree of m-order neighbor nodes.
[0063] According to the theory of spatial autocorrelation, in a complex network, the closer the distance between node pairs, the greater the importance contribution to each other; the farther the distance between node pairs, the smaller the importance contribution to each other. These importance contributions also decay exponentially with distance. As a typical military ne...
Embodiment 2
[0100] This embodiment is as the supplement of embodiment 1:
[0101] Based on the established command and control network cascading failure model, the optimal model parameters are determined. Specifically: using the idea of the control variable method to adjust each parameter in the cascading failure model, and then carry out a deliberate attack on the accusation network. The performance index measures the impact of model parameter values on the command and control network, and then determines the optimal parameters of the model, so that the command and control network has the strongest ability to resist cascading failures.
[0102] image 3 is the simulation graph of the curve of node importance changing with parameter μ. In order to verify that the node importance method of the present invention is more superior, by adjusting different parameters μ, the node importance change curve is as follows image 3 As shown, μ∈{0.6,0.7,0.8,0.9,1.0}. According to the weight coe...
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