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

dc.contributor.coauthorElbir, Ahmet M.
dc.contributor.coauthorPapazafeiropoulos, Anastasios K.
dc.contributor.coauthorKourtessis, Pandelis
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentKUFOTAL (Koc University Ford Otosan Automotive Technologies Laboratory)
dc.contributor.facultymemberYes
dc.contributor.kuauthorErgen, Sinem Çöleri
dc.contributor.kuauthorGürbilek, Gökhan
dc.contributor.kuauthorSoner, Burak
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteLaboratory
dc.date.accessioned2024-11-10T00:09:55Z
dc.date.issued2022
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.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessYES
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
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 .
dc.description.sponsorshipFord Otosan
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK)
dc.description.versionN/A
dc.identifier.doi10.1016/j.smhl.2022.100353
dc.identifier.embargoN/A
dc.identifier.grantnoCHIST-ERA-18-SDCDN-001
dc.identifier.grantno119E350
dc.identifier.issn2352-6483
dc.identifier.pubmed36312989
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85142417847
dc.identifier.urihttps://doi.org/10.1016/j.smhl.2022.100353
dc.identifier.urihttps://hdl.handle.net/20.500.14288/17211
dc.identifier.volume26
dc.keywordsCOVID-19
dc.keywordsPandemic
dc.keywordsTransportation
dc.keywordsUAV
dc.keywordsVehicular networks
dc.language.isoeng
dc.publisherElsevier
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofSmart Health
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectMedicine
dc.titleVehicular networks for combating a worldwide pandemic: preventing the spread of COVID-19
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorErgen, Sinem Çöleri
local.contributor.kuauthorGürbilek, Gökhan
local.contributor.kuauthorSoner, Burak
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