Vehicular networks for combating a worldwide pandemic: Preventing the spread of COVID-19

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dc.authorscopusid55362509900
dc.authorscopusid57207452260
dc.authorscopusid57208713241
dc.authorscopusid23971224900
dc.authorscopusid14825413800
dc.authorscopusid9133370600
dc.contributor.authorElbir, Ahmet M.
dc.contributor.authorGürbilek, G.
dc.contributor.authorSoner, B.
dc.contributor.authorPapazafeiropoulos, A.K.
dc.contributor.authorKourtessis, P.
dc.contributor.authorÇöleri, S.
dc.date.accessioned2023-07-26T11:51:15Z
dc.date.available2023-07-26T11:51:15Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractAs a worldwide pandemic, the coronavirus disease-19 (COVID-19) has caused serious restrictions in people's social life, along with the loss of lives, the collapse of economies and the disruption of humanitarian aids. Despite the advance of technological developments, we, as researchers, have witnessed that several issues need further investigation for a better response to a pandemic outbreak. Therefore, researchers recently started developing ideas to stop or at least reduce the spread of the pandemic. While there have been some prior works on wireless networks for combating a pandemic scenario, vehicular networks and their potential bottlenecks have not yet been fully examined. Furthermore, the vehicular scenarios can be identified as the locations, where the social distancing is mostly violated. With this motivation, this article provides an extensive discussion on vehicular networking for combating a pandemic. We provide the major applications of vehicular networking for combating COVID-19 in public transportation, in-vehicle diagnosis, border patrol and social distance monitoring. Next, we identify the unique characteristics of the collected data in terms of privacy, flexibility and coverage, then highlight corresponding future directions in privacy preservation, resource allocation, data caching and data routing. We believe that this work paves the way for the development of new products and algorithms that can facilitate the social life and help controlling the spread of the pandemic. © 2022 Elsevier Inc.en_US
dc.description.sponsorshipCHIST-ERA-18-SDCDN-001; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK: 119E350en_US
dc.description.sponsorshipThis work was supported in part by Ford Otosan, CHIST-ERA grant CHIST-ERA-18-SDCDN-001 and the Scientific and Technological Council of Turkey 119E350 .en_US
dc.identifier.doi10.1016/j.smhl.2022.100353
dc.identifier.issn2352-6483
dc.identifier.scopus2-s2.0-85142417847en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.smhl.2022.100353
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12523
dc.identifier.volume26en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorElbir, Ahmet M.
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofSmart Healthen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectCOVID-19en_US
dc.subjectPandemicen_US
dc.subjectTransportationen_US
dc.subjectUAVen_US
dc.subjectVehicular networksen_US
dc.subjectArticleen_US
dc.subjectcoronavirus disease 2019en_US
dc.subjectdata privacyen_US
dc.subjecthumanen_US
dc.subjectmachine learningen_US
dc.subjectpandemicen_US
dc.subjectprivacyen_US
dc.subjectresource allocationen_US
dc.subjectresource managementen_US
dc.subjectsocial distanceen_US
dc.subjectsocial distancingen_US
dc.subjectsocial lifeen_US
dc.subjecttraffic and transporten_US
dc.titleVehicular networks for combating a worldwide pandemic: Preventing the spread of COVID-19en_US
dc.typeArticleen_US

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