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dc.contributor.authorCalvo Gordillo, Isidro ORCID
dc.contributor.authorGil-García Leiva, José Miguel
dc.contributor.authorRecio, Igor
dc.contributor.authorLópez, Asier
dc.contributor.authorQuesada Castellano, Jerónimo
dc.date.accessioned2018-05-15T14:58:58Z
dc.date.available2018-05-15T14:58:58Z
dc.date.issued2016-09
dc.identifier.citationElectronics 5(93 : (2016) // Article ID 54es_ES
dc.identifier.issn2079-9292
dc.identifier.urihttp://hdl.handle.net/10810/26896
dc.description.abstractTypical Internet of Things (IoT) applications involve collecting information automatically from diverse geographically-distributed smart sensors and concentrating the information into more powerful computers. The Raspberry Pi platform has become a very interesting choice for IoT applications for several reasons: (1) good computing power/cost ratio; (2) high availability; it has become a de facto hardware standard; and (3) ease of use; it is based on operating systems with a big community of users. In IoT applications, data are frequently carried by means of wireless sensor networks in which energy consumption is a key issue. Energy consumption is especially relevant for smart sensors that are scattered over wide geographical areas and may need to work unattended on batteries for long intervals of time. In this scenario, it is convenient to ease the construction of IoT applications while keeping energy consumption to a minimum at the sensors. This work proposes a possible gateway implementation with specific technologies. It solves the following research question: how to build gateways for IoT applications with Raspberry Pi and low power IQRF communication modules. The following contributions are presented: (1) one architecture for IoT gateways that integrates data from sensor nodes into a higher level application based on low-cost/low-energy technologies; (2) bindings in Java and C that ease the construction of IoT applications; (3) an empirical model that describes the consumption of the communications at the nodes (smart sensors) and allows scaling their batteries; and (4) validation of the proposed energy model at the battery-operated nodes.es_ES
dc.description.sponsorshipThis work was supported in part by the University of the Basque Country (UPV/EHU) under projects EHU13/42 and UFI11/28 and by the Basque Government (GV/EJ) under projects CPS4PSS ETORTEK14/10 and Thinking Factory ETORGAI14.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectIoT gatewayses_ES
dc.subjectIoT applications and driverses_ES
dc.subjectWireless Sensor Networks (WSN)es_ES
dc.subjectlow power solutionses_ES
dc.subjectremote sensinges_ES
dc.subjectIQRFes_ES
dc.subjectenergy consumption modeles_ES
dc.titleBuilding IoT Applications with Raspberry Pi and Low Power IQRF Communication Moduleses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttp://www.mdpi.com/2079-9292/5/3/54es_ES
dc.identifier.doi10.3390/electronics5030054
dc.departamentoesTecnología electrónicaes_ES
dc.departamentoeuTeknologia elektronikoaes_ES


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© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).