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

Balazs Vass, János Tapolcai, David Hay, Jorik Oostenbrink, Fernando Kuipers

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

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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.
Original languageEnglish
Title of host publicationGuide to Disaster-Resilient Communication Networks
Subtitle of host publicationSpringer International Publishing
EditorsJacek Rak, David Hutchison
Pages87-115
Number of pages29
ISBN (Electronic)978-3-030-44685-7
DOIs
Publication statusPublished - 2020

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    Vass, B., Tapolcai, J., Hay, D., Oostenbrink, J., & Kuipers, F. (2020). How to Model and Enumerate Geographically Correlated Failure Events in Communication Networks. In J. Rak, & D. Hutchison (Eds.), Guide to Disaster-Resilient Communication Networks: Springer International Publishing (pp. 87-115) https://doi.org/10.1007/978-3-030-44685-7_4