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dc.contributor.authorTapia Martínez, Dante I.
dc.contributor.authorAlonso Rincón, Ricardo Serafín 
dc.contributor.authorPrieta Pintado, Fernando de la 
dc.contributor.authorZato Domínguez, Davinia Carolina 
dc.date.accessioned2017-09-06T09:14:56Z
dc.date.available2017-09-06T09:14:56Z
dc.date.issued2010/07
dc.identifier.citationFuzzy Systems (FUZZ), 2010 IEEE International Conference on.
dc.identifier.isbn978-1-4244-6919-2
dc.identifier.issn1098-7584
dc.identifier.urihttp://hdl.handle.net/10366/134928
dc.description.abstractThe significance that Ambient Intelligence (AmI) has acquired in recent years requires the development of innovative solutions. Nonetheless, the development of AmI-based systems requires the creation of increasingly complex and flexible applications. In this regard, the use of context-aware technologies is an essential aspect in these developments to perceive stimuli from the context and react upon it autonomously. This work presents a novel platform that defines a method for integrating dynamic and self-adaptable heterogeneous Wireless Sensor Networks (WSNs). This approach facilitates the inclusion of context-aware capabilities when developing intelligent ubiquitous systems, where functionalities can communicate in a distributed way. Furthermore, the information obtained must be managed by intelligent and self-adaptable technologies to provide an adequate interaction between the users and their environment. Agents and Multi-Agent Systems are one of these technologies. The agents have characteristics such as autonomy, reasoning, reactivity, social abilities and pro-activity which make them appropriate for developing dynamic and distributed systems based on AmI. This way, the integration of the platform with a Service-Oriented Multi-Agent architecture is proposed. Finally, conclusions and future work are presented.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEE
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleSYLPH: An Ambient Intelligence based platform for integrating heterogeneous Wireless Sensor Networks
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported