Dynamic capacity provision for wireless sensors connectivity: A profit optimization approach

[EN] We model a wireless sensors' connectivity scenario mathematically and analyze it using capacity provision mechanisms, with the objective of maximizing the profits of a network operator. The scenario has several sensors' clusters with each one having one sink node, which upload...

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Detalles Bibliográficos
Autores: Sanchis-Cano, Ángel, Condoluci, Massimo, Guijarro, Luis|||0000-0001-9774-9728
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/144087
Acceso en línea:https://riunet.upv.es/handle/10251/144087
Access Level:acceso abierto
Palabra clave:Internet of things
Evolutionary game theory
Optimal control
Dynamic capacity optimization
Profit maximization
Nash equilibrium
Network economics
INGENIERIA TELEMATICA
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spelling Dynamic capacity provision for wireless sensors connectivity: A profit optimization approachSanchis-Cano, ÁngelCondoluci, MassimoGuijarro, Luis|||0000-0001-9774-9728Internet of thingsEvolutionary game theoryOptimal controlDynamic capacity optimizationProfit maximizationNash equilibriumNetwork economicsINGENIERIA TELEMATICA[EN] We model a wireless sensors' connectivity scenario mathematically and analyze it using capacity provision mechanisms, with the objective of maximizing the profits of a network operator. The scenario has several sensors' clusters with each one having one sink node, which uploads the sensing data gathered in the cluster through the wireless connectivity of a network operator. The scenario is analyzed both as a static game and as a dynamic game, each one with two stages, using game theory. The sinks' behavior is characterized with a utility function related to the mean service time and the price paid to the operator for the service. The objective of the operator is to maximize its profits by optimizing the network capacity. In the static game, the sinks' subscription decision is modeled using a population game. In the dynamic game, the sinks' behavior is modeled using an evolutionary game and the replicator dynamic, while the operator optimal capacity is obtained solving an optimal control problem. The scenario is shown feasible from an economic point of view. In addition, the dynamic capacity provision optimization is shown as a valid mechanism for maximizing the operator profits, as well as a useful tool to analyze evolving scenarios. Finally, the dynamic analysis opens the possibility to study more complex scenarios using the differential game extension.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Spanish Ministry of Economy and Competitiveness through project TIN2013-47272-C2-1-R; AEI/FEDER, UE through project TEC2017-85830-C2-1-P; and co-supported by the European Social Fund BES-2014-068998.SAGE PublicationsEscuela Técnica Superior de Ingeniería de TelecomunicaciónDepartamento de ComunicacionesMinisterio de Economía y EmpresaAgencia Estatal de InvestigaciónEuropean Regional Development FundMinisterio de Economía, Industria y CompetitividadRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-04-26journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/144087reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 TEC2017-85830-C2-1-P FLEXIBILIDAD E INTELIGENCIA PARA LA GESTION DE RECURSOS EN REDES 5GMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2013-47272-C2-1-R PLATAFORMA DE SERVICIOS PARA CIUDADES INTELIGENTES CON REDES M2M DENSASMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 BES-2014-068998 BES-2014-068998open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1440872026-06-13T07:49:27Z
dc.title.none.fl_str_mv Dynamic capacity provision for wireless sensors connectivity: A profit optimization approach
title Dynamic capacity provision for wireless sensors connectivity: A profit optimization approach
spellingShingle Dynamic capacity provision for wireless sensors connectivity: A profit optimization approach
Sanchis-Cano, Ángel
Internet of things
Evolutionary game theory
Optimal control
Dynamic capacity optimization
Profit maximization
Nash equilibrium
Network economics
INGENIERIA TELEMATICA
title_short Dynamic capacity provision for wireless sensors connectivity: A profit optimization approach
title_full Dynamic capacity provision for wireless sensors connectivity: A profit optimization approach
title_fullStr Dynamic capacity provision for wireless sensors connectivity: A profit optimization approach
title_full_unstemmed Dynamic capacity provision for wireless sensors connectivity: A profit optimization approach
title_sort Dynamic capacity provision for wireless sensors connectivity: A profit optimization approach
dc.creator.none.fl_str_mv Sanchis-Cano, Ángel
Condoluci, Massimo
Guijarro, Luis|||0000-0001-9774-9728
author Sanchis-Cano, Ángel
author_facet Sanchis-Cano, Ángel
Condoluci, Massimo
Guijarro, Luis|||0000-0001-9774-9728
author_role author
author2 Condoluci, Massimo
Guijarro, Luis|||0000-0001-9774-9728
author2_role author
author
dc.contributor.none.fl_str_mv Escuela Técnica Superior de Ingeniería de Telecomunicación
Departamento de Comunicaciones
Ministerio de Economía y Empresa
Agencia Estatal de Investigación
European Regional Development Fund
Ministerio de Economía, Industria y Competitividad
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Internet of things
Evolutionary game theory
Optimal control
Dynamic capacity optimization
Profit maximization
Nash equilibrium
Network economics
INGENIERIA TELEMATICA
topic Internet of things
Evolutionary game theory
Optimal control
Dynamic capacity optimization
Profit maximization
Nash equilibrium
Network economics
INGENIERIA TELEMATICA
description [EN] We model a wireless sensors' connectivity scenario mathematically and analyze it using capacity provision mechanisms, with the objective of maximizing the profits of a network operator. The scenario has several sensors' clusters with each one having one sink node, which uploads the sensing data gathered in the cluster through the wireless connectivity of a network operator. The scenario is analyzed both as a static game and as a dynamic game, each one with two stages, using game theory. The sinks' behavior is characterized with a utility function related to the mean service time and the price paid to the operator for the service. The objective of the operator is to maximize its profits by optimizing the network capacity. In the static game, the sinks' subscription decision is modeled using a population game. In the dynamic game, the sinks' behavior is modeled using an evolutionary game and the replicator dynamic, while the operator optimal capacity is obtained solving an optimal control problem. The scenario is shown feasible from an economic point of view. In addition, the dynamic capacity provision optimization is shown as a valid mechanism for maximizing the operator profits, as well as a useful tool to analyze evolving scenarios. Finally, the dynamic analysis opens the possibility to study more complex scenarios using the differential game extension.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-04-26
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://riunet.upv.es/handle/10251/144087
url https://riunet.upv.es/handle/10251/144087
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 TEC2017-85830-C2-1-P FLEXIBILIDAD E INTELIGENCIA PARA LA GESTION DE RECURSOS EN REDES 5G
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2013-47272-C2-1-R PLATAFORMA DE SERVICIOS PARA CIUDADES INTELIGENTES CON REDES M2M DENSAS
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 BES-2014-068998 BES-2014-068998
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
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
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SAGE Publications
publisher.none.fl_str_mv SAGE Publications
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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