Robustness and recovery mechanism under the interaction of dependent networks

Author:

Gao Zhiyang1,Qi Yaqi Liu Feng1,Chen Huaijin1

Affiliation:

1. National University of Defense Technology College of Electronic Engineering, Hefei, Anhui, China

Abstract

With the development of society and the progress of science and technology, the process of urban infrastructure construction is accelerating, various infrastructure networks are constantly improving, and the links between different infrastructure networks are getting closer. Compared with a single network, this kind of interdependent network is more complex, and the research results of the existing single network are difficult to explain the nature and phenomenon of this kind of network. This article mainly introduces the research on the robustness and recovery mechanism of interdependent networks. From the perspective of a complex network, this paper combines the interdependence between the networks in the actual system and the node load and builds an interdependent network model. On the basis of the load capacity model, an interdependent network error model is established. And through matlab simulation experiments, the fault propagation characteristics of dependent networks under three conditions and the reliability attack methods of dependent networks are studied. The experimental results in this article show that dependent networks show exceptional vulnerability under deliberate attack functions, while dependent networks show good robustness under random attack modes. In addition, increasing the network node tolerance coefficient can improve the robustness of the interdependent network. When the tolerance is increased from 1 to 10, the robustness of the dependent network is increased by 18%.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference28 articles.

1. Assessing Impact of Renewable Energy Integration on System Strength Using Site-Dependent Short Circuit Ratio;Wu;IEEE Transactions on Sustainable Energy,2017

2. Robustness of Entangled Squeezed States Versus Entangled Coherent States Against Channel Decoherence Effect;Rfifi;International Journal of Theoretical Physics,2017

3. Network link dimensioning: a measurement & modeling based approach;van de Meent;University of Twente Centre for Telematics & Information Technology,2018

4. Low phase noise L-band oscillators based on novel general Chebyshev bandpass filters;Xu;International Journal of Circuit Theory and Applications,2019

5. Design and implementation of a new high step-up DC-DC converter for renewable applications;Sani;International Journal of Circuit Theory and Applications,2019

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