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An efficient algorithm for computing exact system and survival signatures of K-terminal network reliability

机译:一种计算K终端网络可靠性的精确系统和生存特征的有效算法

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摘要

An efficient algorithm is presented for computing exact system and survival signatures of K-terminal reliability in undirected networks with unreliable edges. K-terminal reliability is defined as the probability that a subset K of the network nodes can communicate with each other. Signatures have several advantages over direct reliability calculation such as enabling certain stochastic comparisons of reliability between competing network topology designs, extremely fast repeat computation of network reliability for different edge reliabilities and computation of network reliability when failures of edges are exchangeable but not independent. Existing methods for computation of signatures for K-terminal network reliability require derivation of cut-sets or path-sets which is only feasible for small networks due to the computational expense. The new algorithm utilises binary decision diagrams, boundary set partition sets and simple array operations to efficiently compute signatures through a factorisation of the network edges. The performance and advantages of the algorithm are demonstrated through application to a set of benchmark networks and a sensor network from an underground mine.
机译:提出了一种有效算法,用于在边缘不可靠的无向网络中计算K端可靠性的精确系统和生存签名。 K终端可靠性定义为网络节点的子集K可以相互通信的概率。与直接可靠性计算相比,签名具有多个优点,例如,可以在竞争的网络拓扑设计之间进行某些可靠性的随机比较,针对不同的边缘可靠性进行网络可靠性的极快重复计算,以及在边缘故障可交换但不独立时计算网络可靠性。现有的用于计算K终端网络可靠性的签名的方法需要推导割集或路径集,这由于计算费用仅对小型网络才可行。新算法利用二进制决策图,边界集分区集和简单的数组操作通过网络边缘分解有效地计算签名。通过应用于地下矿井的一组基准网络和传感器网络,证明了该算法的性能和优势。

著录项

  • 来源
    《Reliability Engineering & System Safety》 |2019年第5期|429-439|共11页
  • 作者单位

    Univ Nottingham, Fac Engn, Resilience Engn Res Grp, Univ Pk, Nottingham NG7 2RD, England;

    Orebro Univ, Sch Sci & Technol, S-70182 Orebro, Sweden;

    Univ Nottingham, Fac Engn, Resilience Engn Res Grp, Univ Pk, Nottingham NG7 2RD, England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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