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Software Defined Network-based control system for an efficient traffic management for emergency situations in smart cities

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Software Defined Network-based control system for an efficient traffic management for emergency situations in smart cities

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dc.contributor.author REGO MAÑEZ, ALBERT es_ES
dc.contributor.author García-García, Laura es_ES
dc.contributor.author Sendra, Sandra es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.date.accessioned 2020-06-11T03:33:44Z
dc.date.available 2020-06-11T03:33:44Z
dc.date.issued 2018-11 es_ES
dc.identifier.issn 0167-739X es_ES
dc.identifier.uri http://hdl.handle.net/10251/145997
dc.description.abstract [EN] Smart cities provide new applications based on Internet of Things (loT) technology. Moreover, Software Defined Networks (SDNs) offer the possibility of controlling the network based on applications requirements. One of the main problems that arise when an emergency happens is minimizing the delay time in emergency resource forwarding so as to reduce both human and material damages. In this paper, a new control system based on the integration of SDN and loT in smart city environments is proposed. This control system actuates when an emergency happens and modifies dynamically the routes of normal and emergency urban traffic in order to reduce the time that the emergency resources need to get to the emergency area. The architecture is based on a set of loT networks composed by traffic lights, traffic cameras and an algorithm. The algorithm controls the request of resources and the modification of routes in order to ease the movement of emergency service units. Afterwards, the proposal is tested by emulating a Smart City as a SDN-utilizing Mininet. The experiments show that the delay of the emergency traffic improves in a 33% when the algorithm is running. Moreover, the energy consumed by the loT nodes is modeled and the obtained results display that it increases linearly with the number of nodes, therefore, the proposal is scalable. (C) 2018 Elsevier B.V. All rights reserved. es_ES
dc.description.sponsorship This work has been partially supported by the " Ministerio de Educacion, Cultura y Deporte", through the "Ayudas para contratos predoctorales de Formacion del Profesorado Universitario FPU (Convocatoria 2015)". Grant number FPU15/06837, by the "Ministerio de Economia y Competitividad", through the "Convocatoria 2014. Proyectos I+D - P rograma Estatal de Investigacion Cientifica y Tecnica de Excelencia" in the "Subprograma Estatal de Generacion de Conocimiento", project TIN 2014-57991- C 3 - 1 - P and through the "Convocatoria 2016 - Proyectos I+D+I - P rograma Estatal De Investigacion, Desarrollo e Innovacion Orientada a los retos de la sociedad" (Project TEC 2016 - 76795 - C 6 - 4 - R). This work has also been partially supported by the "Ministerio de Economia y Competitividad" in the "Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia, Subprograma Estatal de Generacion de Conocimiento" within the project under Grant TIN2017-84802-C2-1-P. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MINECO/TEC2016- 76795-C6-4-R es_ES
dc.relation MINISTERIO DE ECONOMIA Y EMPRESA/TIN2014-57991-C3-1-P es_ES
dc.relation MECYD/FPU15/06837 es_ES
dc.relation info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84802-C2-1-P/ES/RED COGNITIVA DEFINIDA POR SOFTWARE PARA OPTIMIZAR Y SECURIZAR TRAFICO DE INTERNET DE LAS COSAS CON INFORMACION CRITICA/ es_ES
dc.relation.ispartof Future Generation Computer Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Software Defined Networks (SDN) es_ES
dc.subject Internet of Things (loT) es_ES
dc.subject Smart city es_ES
dc.subject Emergency situations es_ES
dc.subject Quick evacuation es_ES
dc.subject Traffic es_ES
dc.subject Energy consumption es_ES
dc.subject Cloud es_ES
dc.subject Network performance es_ES
dc.subject Jitter es_ES
dc.subject Delay es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.title Software Defined Network-based control system for an efficient traffic management for emergency situations in smart cities es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.future.2018.05.054 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.description.bibliographicCitation Rego Mañez, A.; García-García, L.; Sendra, S.; Lloret, J. (2018). Software Defined Network-based control system for an efficient traffic management for emergency situations in smart cities. Future Generation Computer Systems. 88:243-253. https://doi.org/10.1016/j.future.2018.05.054 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.future.2018.05.054 es_ES
dc.description.upvformatpinicio 243 es_ES
dc.description.upvformatpfin 253 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 88 es_ES
dc.relation.pasarela S\383624 es_ES
dc.contributor.funder Ministerio de Educación es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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