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dc.contributor.authorFernández de Gorostiza, Erlantz
dc.contributor.authorBerzosa Macho, Jorge
dc.contributor.authorMabe Alvarez, Jon
dc.contributor.authorCortiñas Rodríguez, Roberto
dc.date.accessioned2018-11-09T14:09:36Z
dc.date.available2018-11-09T14:09:36Z
dc.date.issued2018-02-23
dc.identifier.citationSensors 18 : (2018) // Article ID 657es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10810/29599
dc.description.abstractIndustrial wireless applications often share the communication channel with other wireless technologies and communication protocols. This coexistence produces interferences and transmission errors which require appropriate mechanisms to manage retransmissions. Nevertheless, these mechanisms increase the network latency and overhead due to the retransmissions. Thus, the loss of data packets and the measures to handle them produce an undesirable drop in the QoS and hinder the overall robustness and energy efficiency of the network. Interference avoidance mechanisms, such as frequency hopping techniques, reduce the need for retransmissions due to interferences but they are often tailored to specific scenarios and are not easily adapted to other use cases. On the other hand, the total absence of interference avoidance mechanisms introduces a security risk because the communication channel may be intentionally attacked and interfered with to hinder or totally block it. In this paper we propose a method for supporting the design of communication solutions under dynamic channel interference conditions and we implement dynamic management policies for frequency hopping technique and channel selection at runtime. The method considers several standard frequency hopping techniques and quality metrics, and the quality and status of the available frequency channels to propose the best combined solution to minimize the side effects of interferences. A simulation tool has been developed and used in this work to validate the method.es_ES
dc.description.sponsorshipResearch partially supported by the European Union's Seventh Framework Programme for research, technological development and demonstration under Grant Agreement Number FP7-SEC-2013-1/607292 ZONeSEC-Towards a EU framework for the security of Widezones, in the scope of the activities related to develop technologies that foster the Plug, Play&Forget paradigm. Also partially supported by the Department of Education, Universities and Research of the Basque Government under Grant IT980-16 and the Spanish Research Council, under grant TIN2016-79897-P.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.subjectwireless sensor networkses_ES
dc.subjectrobustnesses_ES
dc.subjectcoexistence mechanismses_ES
dc.subjectinterference avoidancees_ES
dc.subjectsecurityes_ES
dc.subjectfrequency hoppinges_ES
dc.subjectchannel characterizationes_ES
dc.titleA Method for Dynamically Selecting the Best Frequency Hopping Technique in Industrial Wireless Sensor Network Applicationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2018 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/). You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the materia for any purpose, even commercially.es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/18/2/657es_ES
dc.identifier.doi10.3390/s18020657
dc.departamentoesArquitectura y Tecnología de Computadoreses_ES
dc.departamentoeuKonputagailuen Arkitektura eta Teknologiaes_ES


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© 2018 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/).
You are free to: Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the materia for any purpose, even commercially.
Except where otherwise noted, this item's license is described as © 2018 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/). You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the materia for any purpose, even commercially.