Show simple item record


dc.creatorNaranjo Hernández, Davides
dc.creatorRoa Romero, Laura Maríaes
dc.creatorReina Tosina, Luis Javieres
dc.creatorEstudillo-Valderrama, Miguel Ángeles
dc.creatorBarbarov-Rostán, Gerardoes
dc.identifier.citationNaranjo Hernández, D., Roa Romero, L., Reina Tosina, L.J., Estudillo-Valderrama, M.Á. y Barbarov-Rostán, G. (2015). Low-Power platform and communications for the development of wireless body sensor networks. International Journal of Distributed Sensor Networks, 2015
dc.description.abstractAlthough the roles of body sensor networks (BSNs) are similar to those carried out by the generic wireless sensor networks (WSNs), new solutions must be established to optimize communications for true pervasive biomedical monitoring transparent to the user. In this paper, a proposal of a hardware and software platform for biomedical sensors is performed, which is specially designed to minimize energy consumption in BSNs through a modular processing scheme based on the detection of events and information abstraction. The data flow is implemented through a novel communications protocol that enhances the performances of consumption and time delay of the platform. A novel aspect of the protocol is the explicit incorporation of an additional level of communications to support the distributed processing architecture that allows the execution of multiple applications in parallel within the smart sensors.Theresults obtained with an implementation of a smart sensor for fall detection demonstrate its feasibility as well as the viability of the communication protocol for the development of energy-efficient
dc.publisherSAGE Publishinges
dc.relation.ispartofInternational Journal of Distributed Sensor Networks, 2015
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.subjectWireless bodyes
dc.subjectSensor Networkses
dc.titleLow-Power platform and communications for the development of wireless body sensor networkses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería de Sistemas y Automáticaes
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Teoría de la Señal y Comunicacioneses
dc.contributor.groupUniversidad de Sevilla. TIC203: Ingenieria Biomedicaes
dc.journaltitleInternational Journal of Distributed Sensor Networkses

lowpower.pdf1.234MbIcon   [PDF] View/Open  

This item appears in the following collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional