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Simulating Opportunistic Networks: Survey and Future Directions

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Simulating Opportunistic Networks: Survey and Future Directions

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dc.contributor.author Dede, Jens es_ES
dc.contributor.author Förster, Anna es_ES
dc.contributor.author Hernández-Orallo, Enrique es_ES
dc.contributor.author Herrera-Tapia, Jorge es_ES
dc.contributor.author Kuladinithi, Koojana es_ES
dc.contributor.author Kuppusamy, Vishnupriya es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.contributor.author bin Muslim, Anas es_ES
dc.contributor.author Udugama, Asanga es_ES
dc.contributor.author Vatandas, Zeynep es_ES
dc.date.accessioned 2019-04-27T20:38:30Z
dc.date.available 2019-04-27T20:38:30Z
dc.date.issued 2018 es_ES
dc.identifier.uri http://hdl.handle.net/10251/119614
dc.description (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
dc.description.abstract [EN] Simulation is one of the most powerful tools we have for evaluating the performance of opportunistic networks (OppNets). In this paper, we focus on available tools and mod- els, compare their performance and precision and experimentally show the scalability of different simulators. We also perform a gap analysis of state-of-the-art OppNet simulations and sketch out possible further development and lines of research. This paper is targeted at students starting work and research in this area while also serving as a valuable source of information for experienced researchers. es_ES
dc.description.sponsorship This work was supported in part by the Ministerio de Economia y Competitividad, Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a los Retos de la Sociedad, Proyectos I+D+I 2014, Spain, under Grant TEC2014-52690-R, in part by the Universidad Laica Eloy Alfaro de Manabi, and in part by the Secretaria Nacional de Educacion Superior, Ciencia, Tecnologia e Innovacion, Ecuador. (Corresponding author: Jens Dede.) es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Communications Surveys & Tutorials es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Simulation es_ES
dc.subject Opportunistic networks es_ES
dc.subject Mobility models es_ES
dc.subject Radio propagation models es_ES
dc.subject Traffic models es_ES
dc.subject Data propagation es_ES
dc.subject Energy consumption models es_ES
dc.subject Simulation scalability es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Simulating Opportunistic Networks: Survey and Future Directions es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/COMST.2017.2782182 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2014-52690-R/ES/INTEGRACION DEL SMARTPHONE Y EL VEHICULO PARA CONECTAR CONDUCTORES, SENSORES Y ENTORNO A TRAVES DE UNA ARQUITECTURA DE SERVICIOS FUNCIONALES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Dede, J.; Förster, A.; Hernández-Orallo, E.; Herrera-Tapia, J.; Kuladinithi, K.; Kuppusamy, V.; Manzoni, P.... (2018). Simulating Opportunistic Networks: Survey and Future Directions. IEEE Communications Surveys & Tutorials. 20(2):1547-1573. https://doi.org/10.1109/COMST.2017.2782182 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1109/COMST.2017.2782182 es_ES
dc.description.upvformatpinicio 1547 es_ES
dc.description.upvformatpfin 1573 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 1553-877X es_ES
dc.relation.pasarela S\362747 es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES


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