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<mods:namePart>Casado Vara, Roberto</mods:namePart>
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<mods:namePart>Vale, Zita</mods:namePart>
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<mods:name>
<mods:role>
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<mods:namePart>Prieto, Javier</mods:namePart>
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<mods:namePart>Corchado, Juan M.</mods:namePart>
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<mods:dateIssued encoding="iso8601">2018-12</mods:dateIssued>
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<mods:identifier type="uri">http://hdl.handle.net/10259/7262</mods:identifier>
<mods:identifier type="doi">10.3390/en11123430</mods:identifier>
<mods:identifier type="essn">1996-1073</mods:identifier>
<mods:abstract>The monitoring of the Internet of things networks depends to a great extent on the&#xd;
availability and correct functioning of all the network nodes that collect data. This network&#xd;
nodes all of which must correctly satisfy their purpose to ensure the efficiency and high quality&#xd;
of monitoring and control of the internet of things networks. This paper focuses on the problem&#xd;
of fault-tolerant maintenance of a networked environment in the domain of the internet of things.&#xd;
Based on continuous-time Markov chains, together with a cooperative control algorithm, a novel&#xd;
feedback model-based predictive hybrid control algorithm is proposed to improve the maintenance&#xd;
and reliability of the internet of things network. Virtual sensors are substituted for the sensors that&#xd;
the algorithm predicts will not function properly in future time intervals; this allows for maintaining&#xd;
reliable monitoring and control of the internet of things network. In this way, the internet of things&#xd;
network improves its robustness since our fault tolerant control algorithm finds the malfunction nodes&#xd;
that are collecting incorrect data and self-correct this issue replacing malfunctioning sensors with&#xd;
new ones. In addition, the proposed model is capable of optimising sensor positioning. As a result,&#xd;
data collection from the environment can be kept stable. The developed continuous-time control&#xd;
model is applied to guarantee reliable monitoring and control of temperature in a smart supermarket.&#xd;
Finally, the efficiency of the presented approach is verified with the results obtained in the conducted&#xd;
case study.</mods:abstract>
<mods:language>
<mods:languageTerm authority="rfc3066">eng</mods:languageTerm>
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<mods:accessCondition type="useAndReproduction">Atribución 4.0 Internacional</mods:accessCondition>
<mods:subject>
<mods:topic>Control system</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Fault-Tolerant control</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Algorithm desing and analysis</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>IoT (Internet of Things)</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Nonlinear control</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings</mods:title>
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<mods:genre>info:eu-repo/semantics/article</mods:genre>
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