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dc.contributor.authorEchaniz Marañón, Josu ORCID
dc.contributor.authorAranguren Aramendia, Gerardo
dc.date.accessioned2018-06-05T12:44:44Z
dc.date.available2018-06-05T12:44:44Z
dc.date.issued2017-05
dc.identifier.citationSensors 17(5) : (2017) // Article ID 1153es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10810/27362
dc.description.abstractIntelligent systems are driven by the latest technological advances in many different areas such as sensing, embedded systems, wireless communications or context recognition. This paper focuses on some of those areas. Concretely, the paper deals with wireless communications issues in embedded systems. More precisely, the paper combines the multi-hop networking with Bluetooth technology and a quality of service (QoS) metric, the latency. Bluetooth is a radio license-free worldwide communication standard that makes low power multi-hop wireless networking available. It establishes piconets (point-to-point and point-to-multipoint links) and scatternets (multi-hop networks). As a result, many Bluetooth nodes can be interconnected to set up ambient intelligent networks. Then, this paper presents the results of the investigation on multi-hop latency with park and sniff Bluetooth low power modes conducted over the hardware test bench previously implemented. In addition, the empirical models to estimate the latency of multi-hop communications over Bluetooth Asynchronous Connectionless Links (ACL) in park and sniff mode are given. The designers of devices and networks for intelligent systems will benefit from the estimation of the latency in Bluetooth multi-hop communications that the models provide.es_ES
dc.description.sponsorshipThe research described in this paper was included in AIRHEM IV project and financially supported by the Basque Government Research Program called Elkartek 2015 (code KK_2015/0000085).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.subjectambient intelligencees_ES
dc.subjectACLes_ES
dc.subjectbluetoothes_ES
dc.subjectdelayes_ES
dc.subjectempirical modeles_ES
dc.subjectintelligent environmentes_ES
dc.subjectlatencyes_ES
dc.subjectmulti-hopes_ES
dc.subjectscatternetes_ES
dc.subjectambient intelligencees_ES
dc.subjectsensor networkses_ES
dc.subjecttransmission delayes_ES
dc.subjectperformancees_ES
dc.subjectdesignes_ES
dc.subjectsystemes_ES
dc.titleLow Power Multi-Hop Networking Analysis in Intelligent Environmentses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder2017 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/1424-8220/17/5/1153es_ES
dc.identifier.doi10.3390/s17051153
dc.departamentoesTecnología electrónicaes_ES
dc.departamentoeuTeknologia elektronikoaes_ES


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2017 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 2017 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/).