基于一种新策略的级联失效鲁棒性研究  

Study on Cascading Failure Robustness Based on a New Strategy

作　　者：易敏慧 

机构地区：[1]上海理工大学管理学院,上海

出　　处：《建模与仿真》2024年第1期770-780,共11页Modeling and Simulation

摘　　要：考虑到级联失效时保留相似度最高的邻居节点,有助于减少失效节点对网络性能的负面影响,从而提高鲁棒性,提出了一种在级联失效过程中,保留与失效节点相似度最大的邻居节点的新策略。在新策略的基础上,对BA无标度网络、ER随机网络和WS小世界网络进行模拟仿真,并且对比新策略与原始策略的鲁棒性情况,仿真实验结果表明,网络的鲁棒性随着容量参数β的增大而增大;新的策略可以有效提高网络的鲁棒性,并且在BA无标度网络上的效果更明显,验证了该策略的可行性。Considering that retaining the neighbor node with the highest similarity can help reduce the nega-tive impact of the failed node on network performance and improve robustness, a new strategy is proposed to retain the neighbor node with the greatest similarity to the failed node during the cas-cading failure process. On the basis of the new strategy, the BA scale-free network, ER random net-work and WS small-world network are simulated, and the robustness of the new strategy and the original strategy are compared. The simulation results show that the robustness of the network in-creases with the increase of the capacity parameter β. The new strategy can effectively improve the robustness of the network, and the effect is more obvious on the BA scale-free network, which veri-fies the feasibility of the strategy.

关 键 词：级联失效 负载容量模型 鲁棒性 共邻节点相似度 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]