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dc.contributor.authorCasado Vara, Roberto Carlos 
dc.contributor.authorVale, Zita
dc.contributor.authorPrieto, Javier
dc.contributor.authorCorchado, Juan M.
dc.date.accessioned2023-01-18T08:00:09Z
dc.date.available2023-01-18T08:00:09Z
dc.date.issued2018-12
dc.identifier.urihttp://hdl.handle.net/10259/7262
dc.description.abstractThe monitoring of the Internet of things networks depends to a great extent on the availability and correct functioning of all the network nodes that collect data. This network nodes all of which must correctly satisfy their purpose to ensure the efficiency and high quality of monitoring and control of the internet of things networks. This paper focuses on the problem of fault-tolerant maintenance of a networked environment in the domain of the internet of things. Based on continuous-time Markov chains, together with a cooperative control algorithm, a novel feedback model-based predictive hybrid control algorithm is proposed to improve the maintenance and reliability of the internet of things network. Virtual sensors are substituted for the sensors that the algorithm predicts will not function properly in future time intervals; this allows for maintaining reliable monitoring and control of the internet of things network. In this way, the internet of things network improves its robustness since our fault tolerant control algorithm finds the malfunction nodes that are collecting incorrect data and self-correct this issue replacing malfunctioning sensors with new ones. In addition, the proposed model is capable of optimising sensor positioning. As a result, data collection from the environment can be kept stable. The developed continuous-time control model is applied to guarantee reliable monitoring and control of temperature in a smart supermarket. Finally, the efficiency of the presented approach is verified with the results obtained in the conducted case study.en
dc.description.sponsorshipThis paper has been partially supported by the Salamanca Ciudad de Cultura y Saberes Foundation under the Talent Attraction Programme (CHROMOSOME project).en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofEnergies. 2018, V. 11, n. 12, e3430es
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectControl systemen
dc.subjectFault-Tolerant controlen
dc.subjectAlgorithm desing and analysisen
dc.subjectIoT (Internet of Things)en
dc.subjectNonlinear controlen
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titleFault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildingsen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.3390/en11123430es
dc.identifier.doi10.3390/en11123430
dc.identifier.essn1996-1073
dc.journal.titleEnergiesen
dc.volume.number11es
dc.issue.number12es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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