How to Model and Enumerate Geographically Correlated Failure Events in Communication Networks

Book Chapter (2020)
Author(s)

Balazs Vass (Budapest University of Technology and Economics)

Janos Tapolcai (Budapest University of Technology and Economics)

David Hay (The Hebrew University of Jerusalem)

J. Oostenbrink (TU Delft - Embedded Systems)

F. Kuipers (TU Delft - Embedded Systems)

Research Group
Embedded Systems
Copyright
© 2020 Balazs Vass, János Tapolcai, David Hay, J. Oostenbrink, F.A. Kuipers
DOI related publication
https://doi.org/10.1007/978-3-030-44685-7_4
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Balazs Vass, János Tapolcai, David Hay, J. Oostenbrink, F.A. Kuipers
Research Group
Embedded Systems
Pages (from-to)
87-115
ISBN (print)
978-3-030-44684-0
ISBN (electronic)
978-3-030-44685-7
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Several works shed light on the vulnerability of networks against regional failures, which are failures of multiple pieces of equipment in a geographical region as a result of a natural or human-made disaster. This chapter overviews how this in- formation can be added to existing network protocols through defining Shared Risk Link Groups (SRLGs) and Probabilistic SRLGs (PSRLGs). The output of this chap- ter can be the inputs of later chapters to design and operate the networks to enhance the preparedness against disasters and regional failures in general. In particular, we are focusing on the state-of-the-art algorithmic approaches for generating lists of (P)SRLGs of the communication networks protecting different sets of disasters.

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