Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/93854
Title: eFRADIR: An Enhanced FRAmework for DIsaster Resilience
Authors: Pasic, Alija 
Girão-Silva, Rita 
Mogyorósi, Ferenc
Vass, Balázs 
Gomes, Teresa 
Babarczi, Peter 
Revisnyei, Péter
Tapolcai, Janos
Rak, Jacek 
Keywords: availability; disaster resilience; general dedicated protection; probabilistic failure; regional failure; spine; survivable routing
Issue Date: 11-Jan-2021
Publisher: IEEE
Project: COST Action CA15127 
COST - European Cooperation in Science and Technology 
CENTRO-01-0145-FEDER-029312 
UIDB/00308/2020 
National Research, Development, and Innovation Fund of Hungary, financed through the FK_17, KH_18, K_17, FK_20 and K_18 funding schemes, respectively, under Project 123957, Project 129589, Project 124171, Project 134604, and Project 128062 
BME through the TKP2020, Institutional Excellence Program of the National Research Development and Innovation Office in the field of Articial Intelligence under Grant BME IE-MI-SC TKP2020 
Serial title, monograph or event: IEEE Access
Volume: 9
Abstract: This paper focuses on how to increase the availability of a backbone network with minimal cost. In particular, the new framework focuses on resilience against natural disasters and is an evolution of the FRADIR/FRADIR-II framework. It targets three different directions, namely: network planning, failure modeling, and survivable routing. The steady state network planning is tackled by upgrading a sub-network (a set of links termed the spine) to achieve the targeted availability threshold. A new two-stage approach is proposed: a heuristic algorithm combined with a mixed-integer linear problem to optimize the availability upgrade cost. To tackle the disaster-resilient network planning problem, a new integer linear program is presented for the optimal link intensity tolerance upgrades together with an efficient heuristic scheme to reduce the running time. Failure modeling is improved by considering more realistic disasters. In particular, we focus on earthquakes using the historical data of the epicenters and the moment magnitudes. The joint failure probabilities of the multi-link failures are estimated, and the set of shared risk link groups is defined. The survivable routing aims to improve the network's connectivity during these shared risk link group failures. Here, a generalized dedicated protection algorithm is used to protect against all the listed failures. Finally, the experimental results demonstrate the benefits of the refined eFRADIR framework in the event of disasters by guaranteeing low disconnection probabilities even during large-scale natural disasters.
URI: http://hdl.handle.net/10316/93854
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2021.3050923
Rights: openAccess
Appears in Collections:I&D INESCC - Artigos em Revistas Internacionais
FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
eFradir-EstudoGeral.pdf2.39 MBAdobe PDFView/Open
Show full item record

WEB OF SCIENCETM
Citations

3
checked on Dec 2, 2021

Page view(s)

57
checked on Nov 25, 2021

Download(s)

31
checked on Nov 25, 2021

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons