Post-earthquake network restoration statistical seismic road closure prediction and efficient mdru routing

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dc.contributor.authorDuranay, Ahmet Enes
dc.contributor.authorKodheli, Xhelja
dc.contributor.authorAbdelhady, Amr
dc.contributor.authorÇelik, Abdulkadir
dc.contributor.authorEltawil, Ahmed
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned2025-12-09T09:05:58Z
dc.date.available2025-12-09T09:05:58Z
dc.date.issued2025
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.description.abstractPost-earthquake scenarios have brought connectivity challenges to the forefront of research in recent years. Particularly, the randomness and large-scale of road and telecom network infrastructure damage within the aftermath hinders communications coverage restoration during the most critical hours when lives are at stake. This paper proposes a seismic-based post-earthquake city and cellular network model to statistically predict the status of road closures and base station failures based on fundamental earthquake measurements. The presented model considers a generic Manhattan grid-based city model, with buildings featuring random heights. In addition, it quantifies the probability of building collapse and the consequent probability of road closure which accounts for the random debris nature. Moreover, the model accounts for the dependencies between the debris width, height, and the relative location with respect to the earthquake epicenter. Furthermore, a routing algorithm for movable and deployable resource units (MDRUs) that exploits the derived statistical model is proposed to ensure that MDRUs are efficiently deployed and connectivity is restored swiftly. The proposed routing algorithm is extensively tested over a large set of simulation scenarios depicting different earthquake magnitudes and was shown to provide up to 31% traveling time reduction compared to a blind distance-based approach. Finally, the conducted simulations showed the effectiveness of the proposed MDRUs deployment approach in restoring the communications coverage from a signal-to-interference plus noise ratio perspective in the majority of the considered locations.
dc.identifier.citationDuranay, A. E., Kodheli, X., Abdelhady, A., Çelik, A., Eltawil, A. ve Arslan, H. (2025). Post-earthquake network restoration statistical seismic road closure prediction and efficient mdru routing. IEEE Open Journal of the Communications Society, 6, 671-689. http://dx.doi.org/10.1109/OJCOMS.2024.3519314
dc.identifier.doi10.1109/OJCOMS.2024.3519314
dc.identifier.endpage689
dc.identifier.issn2644-125X
dc.identifier.scopus2-s2.0-85212575732
dc.identifier.scopusqualityQ1
dc.identifier.startpage671
dc.identifier.urihttp://dx.doi.org/10.1109/OJCOMS.2024.3519314
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13309
dc.identifier.volume6
dc.identifier.wosWOS:001403185000012
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKodheli, Xhelja
dc.institutionauthorArslan, Hüseyin
dc.institutionauthorid0009-0004-9846-5013
dc.institutionauthorid0000-0001-9474-7372
dc.language.isoen
dc.relation.ispartofIEEE Open Journal of the Communications Society
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBuilding Collapse Probability
dc.subjectDijkstra
dc.subjectMDRU Routing Algorithm
dc.subjectPost-Earthquake Network Model
dc.subjectRoad Blockage Probability
dc.titlePost-earthquake network restoration statistical seismic road closure prediction and efficient mdru routing
dc.typeArticle

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