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dc.contributor.authorSilva, C. M.en
dc.contributor.authorGuidoni, D. L.en
dc.contributor.authorSouza, F. S.en
dc.contributor.authorPitangui, C. G.en
dc.contributor.authorSarubbi, J. A. F. M.en
dc.contributor.authorAquino, A. L. L.en
dc.contributor.authorMeira, W.en
dc.contributor.authorNogueira, J. M. S.en
dc.contributor.authorPitsillides, Andreasen
dc.creatorSilva, C. M.en
dc.creatorGuidoni, D. L.en
dc.creatorSouza, F. S.en
dc.creatorPitangui, C. G.en
dc.creatorSarubbi, J. A. F. M.en
dc.creatorAquino, A. L. L.en
dc.creatorMeira, W.en
dc.creatorNogueira, J. M. S.en
dc.creatorPitsillides, Andreasen
dc.date.accessioned2019-11-13T10:42:17Z
dc.date.available2019-11-13T10:42:17Z
dc.date.issued2016
dc.identifier.isbn978-1-5090-1889-5
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54979
dc.description.abstractIntelligent Transportation Systems (ITS) demand sophisticated vehicular networks integrating entities from the transportation sector. The ability to plan and manage such networks represents a key challenge for moving ITS solutions from laboratories into the streets. In this work, we propose Gamma Deployment as a metric for evaluating the distribution of roadside units in vehicular networks by considering the inter-contact time between vehicles and infrastructure. By solving the location of roadside units in order to meet the Gamma Deployment, the network designer assures a given share of vehicles to keep frequent contacts with roadside units. Since Gamma Deployment reffects the connectivity experienced by drivers, it can be used for comparing vehicular networks deployed over distinct conditions. © 2016 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.sourceIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSCen
dc.source19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85010046619&doi=10.1109%2fITSC.2016.7795894&partnerID=40&md5=8278452b59adb0e32b812d0c203851d8
dc.subjectIntelligent systemsen
dc.subjectTransportationen
dc.subjectContact timeen
dc.subjectIntelligent vehicle highway systemsen
dc.subjectIntelligent transportation systemsen
dc.subjectCommunication infrastructureen
dc.subjectVehicular networksen
dc.subjectNetwork designeren
dc.subjectRoadside unitsen
dc.subjectRoadsidesen
dc.subjectTransportation sectoren
dc.titleUsing the inter-contact time for planning the communication infrastructure in vehicular networksen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/ITSC.2016.7795894
dc.description.startingpage2089
dc.description.endingpage2094
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors:en
dc.description.notesConference code: 125574en
dc.description.notesCited By :1</p>en
dc.contributor.orcidPitsillides, Andreas [0000-0001-5072-2851]
dc.gnosis.orcid0000-0001-5072-2851


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