An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles

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) dev...

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Autores: Tipantuña Tenelema, Christian José, Hesselbach Serra, Xavier|||0000-0002-7888-3603, Sánchez Aguero, Víctor, Valera Pintor, Francisco, Vidal Fernández, Iván, Nogales Dorado, Borja
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/130633
Acceso en línea:https://hdl.handle.net/2117/130633
https://dx.doi.org/10.1155/2019/4734821
Access Level:acceso abierto
Palabra clave:Mobile communication systems
Comunicacions mòbils, Sistemes de
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
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network_acronym_str ES
network_name_str España
repository_id_str
spelling An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehiclesTipantuña Tenelema, Christian JoséHesselbach Serra, Xavier|||0000-0002-7888-3603Sánchez Aguero, VíctorValera Pintor, FranciscoVidal Fernández, IvánNogales Dorado, BorjaMobile communication systemsComunicacions mòbils, Sistemes deÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbilsThe 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.Peer Reviewed20192019-01-0120192019-03-19journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/130633https://dx.doi.org/10.1155/2019/4734821reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1306332026-05-27T15:37:01Z
dc.title.none.fl_str_mv An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles
title An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles
spellingShingle An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles
Tipantuña Tenelema, Christian José
Mobile communication systems
Comunicacions mòbils, Sistemes de
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
title_short An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles
title_full An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles
title_fullStr An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles
title_full_unstemmed An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles
title_sort An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles
dc.creator.none.fl_str_mv Tipantuña Tenelema, Christian José
Hesselbach Serra, Xavier|||0000-0002-7888-3603
Sánchez Aguero, Víctor
Valera Pintor, Francisco
Vidal Fernández, Iván
Nogales Dorado, Borja
author Tipantuña Tenelema, Christian José
author_facet Tipantuña Tenelema, Christian José
Hesselbach Serra, Xavier|||0000-0002-7888-3603
Sánchez Aguero, Víctor
Valera Pintor, Francisco
Vidal Fernández, Iván
Nogales Dorado, Borja
author_role author
author2 Hesselbach Serra, Xavier|||0000-0002-7888-3603
Sánchez Aguero, Víctor
Valera Pintor, Francisco
Vidal Fernández, Iván
Nogales Dorado, Borja
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Mobile communication systems
Comunicacions mòbils, Sistemes de
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
topic Mobile communication systems
Comunicacions mòbils, Sistemes de
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
description 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 service availability. Furthermore, the strategy allows knowing the sequence of replacement of UAVs to ensure the optimal resource utilization.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01
2019
2019-03-19
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/130633
https://dx.doi.org/10.1155/2019/4734821
url https://hdl.handle.net/2117/130633
https://dx.doi.org/10.1155/2019/4734821
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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