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dc.contributor.authorLópez López, Gregorioes-ES
dc.contributor.authorSoares Moura, Pedroes-ES
dc.contributor.authorCustodio Ramírez, Víctores-ES
dc.contributor.authorMoreno Novella, Jose Ignacioes-ES
dc.date.accessioned2019-05-28T16:47:17Z
dc.date.available2019-05-28T16:47:17Z
dc.date.issued10/06/2012es_ES
dc.identifier.urihttp://hdl.handle.net/11531/36912
dc.descriptionCapítulos en libroses_ES
dc.description.abstractes-ES
dc.description.abstractICT and M2M communications will definitely play a key role on making the Smart Grid dream comes true. However, there are many available communications technologies that can be applied to this area, so an effective method to evaluate and compare them is required. Simulations represent a powerful, flexible, and cost-effective solution to achieve this goal, but the relevance of their results tightly depends on how well the model behind the simulations fits real world scenarios. This paper presents a model to evaluate the typical M2M communications architecture for the Neighborhood Area Networks of the Smart Grid. This model considers bidirectional real-time communications in realistic scenarios, which have been developed based on data collected from the EU FP7 project ENERsip. In order to maximize the impact of the model, medium to long-term scenarios are also considered.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherSin editorial (Ottawa, Canadá)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: IEEE International Conference on Communications - ICC 2012, Página inicial: 3357-3361, Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleModeling the neighborhood area networks of the smart grides_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsMachine-to-Machine; Modeling; Neighborhood Area Networks; Smart Grid; Wireless Communications Technologiesen-GB


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