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Interdependent Multi-Layer Networks: Modeling and Survivability Analysis with Applications to Space-Based Networks

机译：相互依赖的多层网络：建模和生存性分析及其在空基网络中的应用

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摘要

This article develops a novel approach and algorithmic tools for the modeling and survivability analysis of networks with heterogeneous nodes, and examines their application to space-based networks. Space-based networks (SBNs) allow the sharing of spacecraft on-orbit resources, such as data storage, processing, and downlink. Each spacecraft in the network can have different subsystem composition and functionality, thus resulting in node heterogeneity. Most traditional survivability analyses of networks assume node homogeneity and as a result, are not suited for the analysis of SBNs. This work proposes that heterogeneous networks can be modeled as interdependent multi-layer networks, which enables their survivability analysis. The multi-layer aspect captures the breakdown of the network according to common functionalities across the different nodes, and it allows the emergence of homogeneous sub-networks, while the interdependency aspect constrains the network to capture the physical characteristics of each node. Definitions of primitives of failure propagation are devised. Formal characterization of interdependent multi-layer networks, as well as algorithmic tools for the analysis of failure propagation across the network are developed and illustrated with space applications. The SBN applications considered consist of several networked spacecraft that can tap into each other's Command and Data Handling subsystem, in case of failure of its own, including the Telemetry, Tracking and Command, the Control Processor, and the Data Handling sub-subsystems. Various design insights are derived and discussed, and the capability to perform trade-space analysis with the proposed approach for various network characteristics is indicated. The select results here shown quantify the incremental survivability gains (with respect to a particular class of threats) of the SBN over the traditional monolith spacecraft. Failure of the connectivity between nodes is also examined, and the results highlight the importance of the reliability of the wireless links between spacecraft (nodes) to enable any survivability improvements for space-based networks.
机译：本文为具有异构节点的网络的建模和生存性分析开发了一种新颖的方法和算法工具，并研究了它们在基于空间的网络中的应用。天基网络（SBN）允许共享航天器在轨资源，例如数据存储，处理和下行链路。网络中的每个航天器都可以具有不同的子系统组成和功能，从而导致节点异质性。网络的大多数传统生存能力分析都假定节点同质，因此，不适合用于SBN分析。这项工作建议异构网络可以建模为相互依赖的多层网络，这使得它们的生存能力分析成为可能。多层方面根据跨不同节点的通用功能捕获网络故障，并允许出现同构子网络，而相互依赖性方面则限制网络捕获每个节点的物理特性。设计了故障传播原语的定义。相互依赖的多层网络的形式化描述，以及用于分析跨网络故障传播的算法工具均已开发出来，并通过空间应用进行了说明。所考虑的SBN应用程序由几个联网的航天器组成，它们可以在彼此自身故障的情况下利用彼此的命令和数据处理子系统，包括遥测，跟踪和命令，控制处理器和数据处理子系统。得出并讨论了各种设计见解，并指出了使用所提出的方法针对各种网络特性执行交易空间分析的能力。此处显示的选择结果量化了SBN与传统整体式航天器相比增加的生存能力增益（相对于特定类别的威胁）。还检查了节点之间的连接失败，结果强调了航天器（节点）之间无线链路的可靠性对于实现空基网络的可生存性改进的重要性。

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    Jean-Francois Castet; Joseph H. Saleh;

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  • 年(卷),期 -1(8),4
  • 年度 -1
  • 页码 e60402
  • 总页数 13
  • 原文格式 PDF
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