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带恢复策略的复杂网络级联失效机理及鲁棒性研究
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  • 英文篇名:Cascading failure mechanism and robustness of complex networks with recovery strategy
  • 作者:唐亮 ; 焦鹏 ; 李纪康 ; 靖可 ; 靳志宏
  • 英文作者:TANG Liang;JIAO Peng;LI Ji-kang;JING Ke;JIN Zhi-hong;College of Transportation Engineering,Dalian Maritime University;School of Mechatronics Engineering,Shenyang Aerospace University;School of Shipping Economic and Management,Dalian Maritime University;
  • 关键词:复杂网络 ; 级联失效 ; 概率恢复策略 ; 阶段恢复策略 ; 鲁棒性 ; 重复失效
  • 英文关键词:complex network;;cascading failure;;probability recovery strategy;;stage recovery strategy;;robustness;;repeated failure
  • 中文刊名:KZYC
  • 英文刊名:Control and Decision
  • 机构:大连海事大学交通运输工程学院;沈阳航空航天大学机电工程学院;大连海事大学航运经济与管理学院;
  • 出版日期:2018-01-02 10:48
  • 出版单位:控制与决策
  • 年:2018
  • 期:v.33
  • 基金:国家自然科学基金项目(71301108,71201106)
  • 语种:中文;
  • 页:KZYC201810016
  • 页数:10
  • CN:10
  • ISSN:21-1124/TP
  • 分类号:116-125
摘要
为研究复杂网络在遭遇随机故障或蓄意攻击时的鲁棒性,考虑节点具有恢复和重复失效等特征,构建故障节点概率传播模式下的级联失效模型.构建节点故障概率随故障次数增加而逐渐降低的故障概率函数,设计概率恢复(R)和阶段恢复(T)两种故障节点恢复策略,并针对ER、WS、NC和BA四类网络研究其恢复鲁棒性.仿真实验考虑模型中相关参数变化,揭示其对复杂网络级联失效过程中的鲁棒性影响,综合分析边鲁棒性和节点鲁棒性的性能权衡.仿真结果表明,在概率恢复策略下,随着恢复率的增大,4类网络级联失效的规模均能够实现有效降低;而在阶段恢复策略下,随着参数T值增加到不同阈值,4类网络鲁棒性指标在级联失效过程中均能够呈现出突变现象.
        To study the robustness of complex networks while encountering random failure or deliberate attack, the cascading failure model based on probability propagation is constructed by considering the characteristics of repeated failures and recovery of nodes. In particular, we consider that the failure probability of node decreases with the increase of number of failures and the failure probability function is constructed accordingly. Then, two kinds of node recovery strategies(i.e., probability R and stage T) are proposed and implemented on ER random network, WS small-world network, nearest-neighbor coupled network and BA scale-free network, respectively, to test the network robustness of cascading failure model. Finally, simulation experiments are carried out and the parameters changes are considered to reveal their effects on robustness during cascading failure process. Additionally, performance tradeoff between edge robustness and node robustness is analyzed as well. The simulation results show that cascading failure scale of four types of network decreases with the increase of recovery rate. Under the stage recovery strategy, the network robustness index of four types of network shows a mutation phenomenon when the parameter T increases to a threshold.
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