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Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues

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Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues

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dc.contributor.author Alvear-Alvear, Óscar es_ES
dc.contributor.author Tavares De Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Cano, Juan-Carlos es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.date.accessioned 2019-05-29T20:43:16Z
dc.date.available 2019-05-29T20:43:16Z
dc.date.issued 2018 es_ES
dc.identifier.uri http://hdl.handle.net/10251/121275
dc.description.abstract [EN] Evidence shows that Smart Cities are starting to materialise in our lives through the gradual introduction of the Internet of Things (IoT) paradigm. In this scope, crowdsensing emerges as a powerful solution to address environmental monitoring, allowing to control air pollution levels in crowded urban areas in a distributed, collaborative, inexpensive and accurate manner. However, even though technology is already available, such environmental sensing devices have not yet reached consumers. In this paper, we present an analysis of candidate technologies for crowdsensing architectures, along with the requirements for empowering users with air monitoring capabilities. Specifically, we start by providing an overview of the most relevant IoT architectures and protocols. Then, we present the general design of an off-the-shelf mobile environmental sensor able to cope with air quality monitoring requirements; we explore different hardware options to develop the desired sensing unit using readily available devices, discussing the main technical issues associated with each option, thereby opening new opportunities in terms of environmental monitoring programs. es_ES
dc.description.sponsorship This work was partially supported by the Ministerio de Economia y Competitividad, Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a los Retos de la Sociedad, Proyectos I+D+I 2014, Spain, under Grant TEC2014-52690-R, the Generalitat Valenciana, Spain, the Secretaria Nacional de Educacion Superior, Ciencia, Tecnologia e Innovacion del Ecuador (SENESCYT), and the Universidad de Cuenca.
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Smart city es_ES
dc.subject Internet of Things es_ES
dc.subject Crowdsensing es_ES
dc.subject Sensor design es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s18020460 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2014-52690-R/ES/INTEGRACION DEL SMARTPHONE Y EL VEHICULO PARA CONECTAR CONDUCTORES, SENSORES Y ENTORNO A TRAVES DE UNA ARQUITECTURA DE SERVICIOS FUNCIONALES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Alvear-Alvear, Ó.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J.; Manzoni, P. (2018). Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues. Sensors. 18(2):1-28. https://doi.org/10.3390/s18020460 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.3390/s18020460 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 28 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.subject.asignatura Proyecto aplicaciones de biometría y medio ambiente 13952 / Q - Grado en tecnologías interactivas 186 es_ES
dc.identifier.pmid 29401711
dc.identifier.pmcid PMC5855194
dc.relation.pasarela S\351945 es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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