An NFV-Based Energy Scheduling Algorithm for a 5G Enabled Fleet of Programmable Unmanned Aerial Vehicles

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dc.contributor.author Tipantuna, Christian
dc.contributor.author Hesselbach, Xavier
dc.contributor.author Sanchez Aguero, Victor
dc.contributor.author Valera Pintor, Francisco
dc.contributor.author Vidal Fernández, Iván
dc.contributor.author Nogales Dorado, Borja
dc.date.accessioned 2020-11-12T10:54:06Z
dc.date.available 2020-11-12T10:54:06Z
dc.date.issued 2019-01-01
dc.identifier.bibliographicCitation Christian Tipantuña, Xavier Hesselbach, Victor Sánchez-Aguero, Francisco Valera, Ivan Vidal, Borja Nogales, "An NFV-Based Energy Scheduling Algorithm for a 5G Enabled Fleet of Programmable Unmanned Aerial Vehicles", Wireless Communications and Mobile Computing, vol. 2019, Article ID 4734821, 20 pages, 2019
dc.identifier.issn 1530-8669
dc.identifier.uri http://hdl.handle.net/10016/31374
dc.description.abstract The 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 serv
dc.description.sponsorship This work has been supported by the Ministerio de Economía y Competitividad of the Spanish Government under projects TEC2016-76795-C6-1-R and TEC2016-76795-C6-3-R and also AEI/FEDER, UE. Christian Tipantuña acknowledges the support from Escuela Politécnica Nacional (EPN) and from Secretaría de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT) for his doctoral studies at Universitat Politécnica de Catalunya (UPC).
dc.language.iso eng
dc.publisher Wiley
dc.rights © 2019 Christian Tipantuña et al.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.title An NFV-Based Energy Scheduling Algorithm for a 5G Enabled Fleet of Programmable Unmanned Aerial Vehicles
dc.type article
dc.identifier.doi https://dx.doi.org/10.1155/2019/4734821
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2016-76795-C6-3-R
dc.relation.projectID Gobierno de España. TEC2016-76795-C6-1-R
dc.type.version publishedVersion
dc.identifier.publicationtitle Wireless Communications and Mobile Computing
dc.identifier.uxxi AR/0000023368
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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