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MLCOR Model for Suppressing the Cascade of Edge Failures in Complex Network.

Authors :
Cui, Dan
Shen, Ai Zhong
Zhang, Yingli
Source :
International Journal of Pattern Recognition & Artificial Intelligence; 12/15/2021, Vol. 35 Issue 15, p1-14, 14p
Publication Year :
2021

Abstract

As a decisive parameter of network robustness and network economy, the capacity of network edges can directly affect the operation stability and the construction cost of the network. This paper proposes a multilevel load–capacity optimal relationship (MLCOR) model that can substantially improve the network economy on the premise of network safety. The model is verified in artificially created networks including free-scale networks, small-world networks, and in the real network structure of the Shanghai Metro network as well. By numerical simulation, it is revealed that under the premise of ensuring the stability of the network from the destruction caused by initial internal or external damage on edge, the MLCOR model can effectively reduce the cost of the entire network compared to the other two linear load–capacity models regardless of what extent of the destruction that the network edges suffer initially. It is also proved that there exists an optimal tunable parameter and the corresponding optimal network cost for any BA and NW network topology, which can provide the reference for setting reasonable capacities for network edges in a real network at the stage of network planning and construction, promoting security and stability of network operation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02180014
Volume :
35
Issue :
15
Database :
Complementary Index
Journal :
International Journal of Pattern Recognition & Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
154692728
Full Text :
https://doi.org/10.1142/S0218001421510162