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dc.contributor.authorSilva, C. M.en
dc.contributor.authorGuidoni, D. L.en
dc.contributor.authorSouza, F. S. H.en
dc.contributor.authorPitangui, C. G.en
dc.contributor.authorSarubbi, J. F. M.en
dc.contributor.authorPitsillides, Andreasen
dc.creatorSilva, C. M.en
dc.creatorGuidoni, D. L.en
dc.creatorSouza, F. S. H.en
dc.creatorPitangui, C. G.en
dc.creatorSarubbi, J. F. M.en
dc.creatorPitsillides, Andreasen
dc.date.accessioned2019-11-13T10:42:17Z
dc.date.available2019-11-13T10:42:17Z
dc.date.issued2017
dc.identifier.isbn978-1-5090-2833-7
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54980
dc.description.abstractGamma Deployment is a metric for evaluating the distribution of roadside units in vehicular networks in terms of two parameters: a) the inter-contact time between vehicles and the infrastructure, and, b) the share of vehicles that must respect the inter-contact time guarantees. We envision the use of the Gamma Deployment metric when the network designer intends to distribute check-points along the road network in order to collect and disseminate traffic informations through roadside units. Thus, the goal is to locate the roadside units such that ρ percent of vehicles meet roadside units in time intervals less than τ seconds. In this work, we formalize the Gamma Deployment metric by developing an Integer Linear Programming formulation (ILP). Since the ILP is not able to solve large instances, we also develop an heuristic for approximating the optimal solution. We present experiments considering a realistic mobility trace, and our results demonstrate the heuristic incurs in small deviations for small inter-contact time guarantees. © 2016 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.sourceProceedings - 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2016en
dc.source13th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2016en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85013321911&doi=10.1109%2fMASS.2016.041&partnerID=40&md5=84233a2d1708bf1b1baeef0da01be21a
dc.subjectPerformanceen
dc.subjectInteger programmingen
dc.subjectVehiclesen
dc.subjectDeploymenten
dc.subjectRoadsidesen
dc.subjectInfrastructure Planningen
dc.subjectMetricen
dc.subjectRoadside Unitsen
dc.subjectVehicular Networksen
dc.titleGamma Deployment: Designing the Communication Infrastructure in Vehicular Networks Assuring Guarantees on the V2I Inter-Contact Timeen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/MASS.2016.041
dc.description.startingpage263
dc.description.endingpage271
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: Comite Gestor da Internet (CGI)en
dc.description.notesConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)en
dc.description.notesCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)en
dc.description.noteset al.en
dc.description.notesIEEE Computer Societyen
dc.description.notesNational Science Foundationen
dc.description.notesConference code: 125991en
dc.description.notesCited By :2</p>en
dc.contributor.orcidPitsillides, Andreas [0000-0001-5072-2851]
dc.gnosis.orcid0000-0001-5072-2851


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