系统工程与电子技术
繫統工程與電子技術
계통공정여전자기술
SYSTEMS ENGINEERING AND ELECTRONICS
2014年
6期
1096-1102
,共7页
彭兴钊%姚宏%肖明清%杜军%丁超%李浩敏
彭興釗%姚宏%肖明清%杜軍%丁超%李浩敏
팽흥쇠%요굉%초명청%두군%정초%리호민
加权网络%级联故障%抗毁性%度量指标
加權網絡%級聯故障%抗燬性%度量指標
가권망락%급련고장%항훼성%도량지표
weighted network%cascading failure%invulnerability%measuring index
考虑权重因素,建立了加权网络的级联故障模型,其中初始负荷定义为节点强度的函数且其分布通过控制参数α可调,当节点故障时其负荷通过一定的规则分配给邻居节点。研究表明,级联抗毁性的度量指标必须同时考虑权重和拓扑结构的因素,否则将可能高估故障的严重程度。在 BBV(Barrat-Barthélemy-Vespignani)网络的框架内,得出如下结论:当α>1时,攻击负荷大的节点更容易引发大规模级联故障;而当α<1时,攻击负荷小的节点更容易导致网络的瘫痪;且 BBV 模型参数δ与网络级联抗毁性负相关。最后从不同角度对上述结论进行了理论分析和仿真说明。
攷慮權重因素,建立瞭加權網絡的級聯故障模型,其中初始負荷定義為節點彊度的函數且其分佈通過控製參數α可調,噹節點故障時其負荷通過一定的規則分配給鄰居節點。研究錶明,級聯抗燬性的度量指標必鬚同時攷慮權重和拓撲結構的因素,否則將可能高估故障的嚴重程度。在 BBV(Barrat-Barthélemy-Vespignani)網絡的框架內,得齣如下結論:噹α>1時,攻擊負荷大的節點更容易引髮大規模級聯故障;而噹α<1時,攻擊負荷小的節點更容易導緻網絡的癱瘓;且 BBV 模型參數δ與網絡級聯抗燬性負相關。最後從不同角度對上述結論進行瞭理論分析和倣真說明。
고필권중인소,건립료가권망락적급련고장모형,기중초시부하정의위절점강도적함수차기분포통과공제삼수α가조,당절점고장시기부하통과일정적규칙분배급린거절점。연구표명,급련항훼성적도량지표필수동시고필권중화탁복결구적인소,부칙장가능고고고장적엄중정도。재 BBV(Barrat-Barthélemy-Vespignani)망락적광가내,득출여하결론:당α>1시,공격부하대적절점경용역인발대규모급련고장;이당α<1시,공격부하소적절점경용역도치망락적탄탄;차 BBV 모형삼수δ여망락급련항훼성부상관。최후종불동각도대상술결론진행료이론분석화방진설명。
A cascading failure model for weighted networks is built by considering the influence of weight. In this model the networks’initial loads are defined as the function of node strength and their distribution can be adjusted with the parameterα.When a node fails,the loads on it will be distributed to its neighbors through certain rules.The study shows that both factors of weight and topological structure should be considered in or-der to measure the cascading invulnerability,otherwise the cascading failure may be overrated.The following conclusions are validated under the framework of Barrat-Barthélemy-Vespignani (BBV)network:in the case ofα>1,attacking the larger load nodes is more prone to large scale cascading failures;while forα<1,attacking the smaller load nodes is more easily leads to the whole network’s paralysis;and the modeling parameterδneg-atively correlates with the networks’invulnerability.Finally,theoretical analyses and simulations are made to explain these conclusions.