Mobile Sensing Systems

dc.contributor.affiliationDepartamento de Comunicaciones
dc.contributor.affiliationEscuela Politécnica Superior de Gandia
dc.contributor.authorMacias Lopez, Elsa Mariaes_ES
dc.contributor.authorSuarez Sarmiento, Alvaroes_ES
dc.contributor.authorLloret, Jaime
dc.contributor.funderMinisterio de Ciencia e Innovación
dc.contributor.funderUniversitat Politècnica de València
dc.date.accessioned2014-11-10T15:28:21Z
dc.date.available2014-11-10T15:28:21Z
dc.date.issued2013-12
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.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationMacias Lopez, EM.; Suarez Sarmiento, A.; Lloret, J. (2013). Mobile Sensing Systems. Sensors. 13(12):17292-17321. https://doi.org/10.3390/s131217292es_ES
dc.description.issue12es_ES
dc.description.sponsorshipThis 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.description.upvformatpfin17321es_ES
dc.description.upvformatpinicio17292es_ES
dc.description.volume13es_ES
dc.identifier.doi10.3390/s131217292
dc.identifier.issn1424-8220
dc.identifier.pmcidPMC3892889en_EN
dc.identifier.pmid24351637en_EN
dc.identifier.urihttps://riunet.upv.es/handle/10251/44028
dc.languageIngléses_ES
dc.publisherMDPIes_ES
dc.relation.ispartofSensorses_ES
dc.relation.projectIDinfo: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.projectIDinfo:eu-repo/grantAgreement/UPV//PAID-05-12/es_ES
dc.relation.publisherversionhttp://dx.doi.org/10.3390/s131217292es_ES
dc.relation.senia265339
dc.rightsReconocimiento (by)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectIndividual mobile sensinges_ES
dc.subjectCrowd sensinges_ES
dc.subjectMobile operating systemses_ES
dc.subjectMobile cloudes_ES
dc.subjectSmart phonees_ES
dc.subjectSensorses_ES
dc.subjectUbiquitous sensinges_ES
dc.subjectWeb sensinges_ES
dc.subject.classificationINGENIERIA TELEMATICAes_ES
dc.titleMobile Sensing Systemses_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier260345
person.identifier.orcid0000-0002-0862-0533
relation.isAuthorOfPublicatione6f912f7-e605-4217-ac55-555ebb925e03
relation.isAuthorOfPublication.latestForDiscoverye6f912f7-e605-4217-ac55-555ebb925e03
relation.isOrgUnitOfPublication02a0f2c5-c452-4e1d-a7d9-b731347d078c
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upv.uuid9c3e42f2-0d09-4d96-a4eb-925dd564f87aes_ES

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