Wireless Sensor Network With Perpetual Motes for Terrestrial Snail Activity Monitoring

dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías da Informacióngl
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Electrónica e Computacióngl
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorGarcía Lesta, Daniel
dc.contributor.authorCabello Ferrer, Diego
dc.contributor.authorFerro Santiago, Esteban
dc.contributor.authorLópez Martínez, Paula
dc.contributor.authorBrea Sánchez, Víctor Manuel
dc.date.accessioned2019-02-25T11:53:55Z
dc.date.issued2017-08-01
dc.description.abstractWireless sensor networks (WSNs) are increasingly adopted in agriculture to monitor environmental variables to predict the presence of pests. Differently from these approaches, this paper introduces aWSN to detect the presence of snails in the field. The network can be used to both trigger an alarm of early pest presence and to further elaborate statistical models with the addition of environmental data as temperature or humidity to predict snail presence. In this paper we also design our own WSN simulator to account for real-life conditions as an uneven spacing of motes in the field or different currents generated by solar cells at the motes. This allows achieving more realistic network deployment in the field. Experimental tests are included in this paper, showing that our motes are perpetual in terms of energy consumptiongl
dc.description.peerreviewedSIgl
dc.description.sponsorshipConsellería de Cultura, Educación e Ordenación Universitaria (accreditation 2016-2019); European Regional Development Fund; Ministerio de Economía, Industria y Competitividad (TEC2015-66878-C3-3-R)gl
dc.identifier.citationD. García-Lesta, D. Cabello, E. Ferro, P. López, and V.M. Brea (2017). Wireless Sensor Network With Perpetual Motes for Terrestrial Snail Activity Monitoring. IEEE Sensors Journal, 17(15), 5008-5015. Doi: 10.1109/jsen.2017.2718107gl
dc.identifier.doi10.1109/jsen.2017.2718107
dc.identifier.issn1530-437X
dc.identifier.urihttp://hdl.handle.net/10347/18301
dc.language.isoenggl
dc.publisherIEEEgl
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2015- 66878-C3-3-R/ES/SISTEMAS DE VISION INTEGRADOS PARA LA EXTRACCION DE CARACTERISTICAS, CON RECOLECCION Y GESTION ENERGETICA ON-CHIP, PARA PLATAFORMAS MOVILES NO TRIPULADAS
dc.relation.publisherversionhttps://doi.org/10.1109/JSEN.2017.2718107gl
dc.rights© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksgl
dc.rights.accessRightsopen accessgl
dc.subjectWireless sensor networksgl
dc.subjectAgricultural pestsgl
dc.subjectCapacitive sensorsgl
dc.subjectZigBeegl
dc.subjectSensor applicationsgl
dc.titleWireless Sensor Network With Perpetual Motes for Terrestrial Snail Activity Monitoringgl
dc.typejournal articlegl
dc.type.hasVersionAMgl
dspace.entity.typePublication
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relation.isAuthorOfPublicatione78a1e57-0d7c-4392-8e16-b2b0e1d64823
relation.isAuthorOfPublication22d4aeb8-73ba-4743-a84e-9118799ab1f2
relation.isAuthorOfPublication.latestForDiscovery0d74337a-b632-4ad6-8713-6db5c1a0d643

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