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基于复杂网络负载重分配及级联失效的网络抗毁性评估

牛锦 邓翠艳 姚旭清

通信与信息技术Issue(4):42-48,7.
通信与信息技术Issue(4):42-48,7.

基于复杂网络负载重分配及级联失效的网络抗毁性评估

Base on Cascading failure and load redistribution of complex networks surviv-ability evaluation method

牛锦 1邓翠艳 1姚旭清2

作者信息

  • 1. 晋中信息学院,山西 晋中 030800
  • 2. 中国移动通信集团山西有限公司,山西 太原 030032
  • 折叠

摘要

Abstract

In the field of mobile communications,the 5G SPN(Slicing Packet Network)transmission network continues to evolving,exhibiting characteristics typical of complex networks.To further enhance the robustness of SPN networks and ensure their secure and sta-ble operation,this paper proposes a network survivability evaluation method based on complex network load redistribution and cascading failures,targeting the fault propagation model in complex networks.The method involves initializing the load and capacity of transmission nodes in a given SPN network,and setting three controllable parameters:attack scale,tolerance coefficient,and redundancy coefficient.By fixing two of these parameters and varying the third,different network nodes are selected for attack according to three network attack strategies,rendering the attacked nodes inoperative.The load of the failed nodes is then redistributed,and the new load and capacity of the nodes post-redistribution are assessed.The relative size of the largest connected subgraph,denoted as the network survivability metric as G.Ultimately,the influence factors of the three controllable parameters on network survivability are determined.Experimental results demonstrate that this method can effectively guide the operation and maintenance of practical SPN networks.By strengthening core nodes,in-creasing network redundancy,and reducing the operational load on nodes,the network′s survivability can be significantly improved.

关键词

复杂网络/级联失效/负载重分配/网络抗毁性/鲁棒性

Key words

Complex network/Cascading failure/Load redistribution/Net survivability/Net robustness

分类

信息技术与安全科学

引用本文复制引用

牛锦,邓翠艳,姚旭清..基于复杂网络负载重分配及级联失效的网络抗毁性评估[J].通信与信息技术,2025,(4):42-48,7.

基金项目

2023年度山西省高等学校科技创新项目"5G网络智能精准节电研究"(项目编号:2023L517) (项目编号:2023L517)

通信与信息技术

1672-0164

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