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An Architecture Offering Mobile Pollution Sensing with High Spatial Resolution

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An Architecture Offering Mobile Pollution Sensing with High Spatial Resolution

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dc.contributor.author Alvear-Alvear, Óscar es_ES
dc.contributor.author Zamora-Mero, Willian Jesus es_ES
dc.contributor.author Tavares de Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Cano Escribá, Juan Carlos es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.date.accessioned 2017-03-06T10:04:57Z
dc.date.available 2017-03-06T10:04:57Z
dc.date.issued 2016
dc.identifier.issn 1687-725X
dc.identifier.uri http://hdl.handle.net/10251/78509
dc.description © 2016 Oscar Alvear et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. es_ES
dc.description.abstract Mobile sensing is becoming the best option to monitor our environment due to its ease of use, high flexibility, and low price. In this paper, we present a mobile sensing architecture able to monitor different pollutants using low-end sensors. Although the proposed solution can be deployed everywhere, it becomes especially meaningful in crowded cities where pollution values are often high, being of great concern to both population and authorities. Our architecture is composed of three different modules: a mobile sensor for monitoring environment pollutants, an Android-based device for transferring the gathered data to a central server, and a central processing server for analyzing the pollution distribution. Moreover, we analyze different issues related to the monitoring process: (i) filtering captured data to reduce the variability of consecutive measurements; (ii) converting the sensor output to actual pollution levels; (iii) reducing the temporal variations produced by mobile sensing process; and (iv) applying interpolation techniques for creating detailed pollution maps. In addition, we study the best strategy to use mobile sensors by first determining the influence of sensor orientation on the captured values and then analyzing the influence of time and space sampling in the interpolation process. es_ES
dc.description.sponsorship This work was partially supported by the "Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a Retos de la Sociedad, Proyecto I+D+I TEC2014-52690-R," the "Universidad Laica Eloy Alfaro de Manabi," and the "Programa de Becas SENESCYT de la Republica del Ecuador." en_EN
dc.language Inglés es_ES
dc.publisher Hindawi Publishing Corporation es_ES
dc.relation Spain, Ministerio de Economía y Competitividad/ Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Proyectos I+D+I 2014/ TEC2014-52690-R es_ES
dc.relation Universidad Laica Eloy Alfaro de Manabi es_ES
dc.relation República de Ecuador/ Programa de Becas SENESCYT es_ES
dc.relation.ispartof Journal of Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Mobile Pollution Sensing es_ES
dc.subject Kriging es_ES
dc.subject Interpolation es_ES
dc.subject Android es_ES
dc.subject Ozone es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title An Architecture Offering Mobile Pollution Sensing with High Spatial Resolution es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1155/2016/1458147
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica 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.; Zamora-Mero, WJ.; Tavares De Araujo Cesariny Calafate, CM.; Cano Escribá, JC.; Manzoni, P. (2016). An Architecture Offering Mobile Pollution Sensing with High Spatial Resolution. Journal of Sensors. 2016:1-13. doi:10.1155/2016/1458147 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://www.hindawi.com/journals/js/2016/1458147/ es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 13 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2016 es_ES
dc.relation.senia 307741 es_ES


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