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Mobile Sensing Systems

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Mobile Sensing Systems

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dc.contributor.author Macias Lopez, Elsa Maria es_ES
dc.contributor.author Suarez Sarmiento, Alvaro es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.date.accessioned 2014-11-10T15:28:21Z
dc.date.available 2014-11-10T15:28:21Z
dc.date.issued 2013-12
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10251/44028
dc.description.abstract [EN] Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing. There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc. The object of sensing can be people-centered or environment-centered. The sensing domain can be home, urban, vehicular Currently there are barriers that limit the social acceptance of mobile sensing systems. Examples of social barriers are privacy concerns, restrictive laws in some countries and the absence of economic incentives that might encourage people to participate in a sensing campaign. Several technical barriers are phone energy savings and the variety of sensors and software for their management. Some existing surveys partially tackle the topic of mobile sensing systems. Published papers theoretically or partially solve the above barriers. We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving for any type of mobile sensing system, and propose several realistic research challenges. The main objective is to reduce the learning curve in mobile sensing systems where the complexity is very high. es_ES
dc.description.sponsorship This work has been partially supported by the "Ministerio de Ciencia e Innovacion", through the "Plan Nacional de I+D+i 2008-2011" in the "Subprograma de Proyectos de Investigacion Fundamental", project TEC2011-27516, and by the Polytechnic University of Valencia, through the PAID-05-12 multidisciplinary projects.
dc.language Inglés es_ES
dc.publisher MDPI es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Individual mobile sensing es_ES
dc.subject Crowd sensing es_ES
dc.subject Mobile operating systems es_ES
dc.subject Mobile cloud es_ES
dc.subject Smart phone es_ES
dc.subject Sensors es_ES
dc.subject Ubiquitous sensing es_ES
dc.subject Web sensing es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.title Mobile Sensing Systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s131217292
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TEC2011-27516/ES/RED COGNITIVA BASADA EN GRUPOS DE SENSORES COLABORATIVOS PARA EL SENSADO Y MONITOZACION DEL ENTORNO ACUATICO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-05-12/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.description.bibliographicCitation Macias Lopez, EM.; Suarez Sarmiento, A.; Lloret, J. (2013). Mobile Sensing Systems. Sensors. 13(12):17292-17321. https://doi.org/10.3390/s131217292 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.3390/s131217292 es_ES
dc.description.upvformatpinicio 17292 es_ES
dc.description.upvformatpfin 17321 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13 es_ES
dc.description.issue 12 es_ES
dc.relation.senia 265339
dc.identifier.pmid 24351637 en_EN
dc.identifier.pmcid PMC3892889 en_EN
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Universitat Politècnica de València


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