Construction method of accusation network cascading failure model with hierarchical structure
A failure model and hierarchical structure technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problem of not considering the characteristics of the hierarchical structure, the cascade failure model cannot be directly applied, and it is difficult to effectively analyze the invulnerability of the command network, etc. problems, to achieve the effect of improving the ability to resist cascading failures and enhancing the survivability
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Embodiment 1
[0058] A method for constructing a cascading failure model of an accusation network with a hierarchical structure, the specific steps are as follows:
[0059] S1: Define the initial load and capacity of nodes; the method for defining the initial load of the command and control network based on the hierarchy-degree takes into account the topological structure (node degree) and hierarchical characteristics of the command and control network, and its formula is as follows:
[0060] f i (0)=α×k i λ +(1-α)×(D+1-d i ) γ
[0061] Among them, Fi(0) is the initial load of node vi, ki and di are the degree and command level (organization status) of node vi respectively, and D is the total command level of the command and control network. α, λ and γ are initial load adjustment coefficients, controlling the impact of node degree and organizational status on the initial load of nodes, λ, γ∈[0,∞) and α∈[0,1].
[0062] The capacity of the node is determined according to the ML cascad...
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: use 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 cascade invulnerability index measures the impact of model parameter values on the command and control network, and then determines the optimal parameters of the model, making the command and control network the strongest anti-cascade failure capability;
[0102] Figure 6 is the simulation diagram of the effect of the initial load adjustment coefficient α on the network cascade invulnerability. In order to analyze the impact of the coefficient α on the network cascade invulnerability when the accusation network is deliberately attacked, the node survival rate G and the network carrying capacity CF are used as the...
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