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dc.contributor.authorTipantuña, Christian
dc.contributor.authorHesselbach Serra, Xavier
dc.contributor.authorSánchez Aguero, Víctor
dc.contributor.authorValera Pintor, Francisco
dc.contributor.authorVidal Fernández, Iván
dc.contributor.authorNogales Dorado, Borja
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.date.accessioned2019-03-19T18:52:24Z
dc.date.available2019-03-19T18:52:24Z
dc.date.issued2019-01-01
dc.identifier.citationTipantuña, C. [et al.]. An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles. "Wireless communications and mobile computing", 1 Gener 2019, vol. 2019, p. 4734821-1-4734821-20.
dc.identifier.issn1530-8669
dc.identifier.urihttp://hdl.handle.net/2117/130633
dc.description.abstractThe fifth generation of mobile networks (5G) is expected to provide diverse and stringent improvements such as greater connectivity, bandwidth, throughput, availability, improved coverage, and lower latency. Considering this, drones or Unmanned Aerial Vehicles (UAVs) and Internet of Things (IoT) devices are perfect examples of existing technology that can take advantage of the capabilities provided by 5G technology. In particular, UAVs are expected to be an important component of 5G networks implementations and support different communication requirements and applications. UAVs working together with 5G can potentially facilitate the deployment of standalone or complementary communications infrastructures, and, due to its rapid deployment, these solutions are suitable candidates to provide network services in emergency scenarios, natural disasters, and search and rescue missions. An important consideration in the deployment of a programmable drone fleet is to guarantee the reliability and performance of the services through consistent monitoring, control, and management scheme. In this regard, the Network Functions Virtualization (NFV) paradigm, a key technology within the 5G ecosystem, can be used to perform automation, management, and orchestration tasks. In addition, to ensure the coordination and reliability in the communications systems, considering that the UAVs have a finite lifetime and that eventually they must be replaced, a scheduling scheme is needed to guarantee the availability of services and efficient resource utilization. To this end, in this paper is presented an UAV scheduling scheme which leverages the potential offered by NFV. The proposed strategy, based on a brute-force search combinatorial algorithm, allows obtaining the optimal scheduling of UAVs in time, in order to efficiently deploy network services. Simulation results validate the performance of the proposed strategy, by providing the number of drones needed to meet certain levels of service availability. Furthermore, the strategy allows knowing the sequence of replacement of UAVs to ensure the optimal resource utilization.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
dc.subject.lcshMobile communication systems
dc.titleAn NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles
dc.typeArticle
dc.subject.lemacComunicacions mòbils, Sistemes de
dc.contributor.groupUniversitat Politècnica de Catalunya. BAMPLA - Disseny i Avaluació de Xarxes i Serveis de Banda Ampla
dc.identifier.doi10.1155/2019/4734821
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.hindawi.com/journals/wcmc/2019/4734821/
dc.rights.accessOpen Access
drac.iddocument24006165
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TEC2016-76795-C6-1-R
upcommons.citation.authorTipantuña, C.; Hesselbach, X.; Sánchez, V.; Valera , F.; Vidal, I.; Nogales, B.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameWireless communications and mobile computing
upcommons.citation.volume2019
upcommons.citation.startingPage4734821-1
upcommons.citation.endingPage4734821-20


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain