Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings
The 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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-12-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/11/12/3430 |
| _version_ | 1798039116282068992 |
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| author | Roberto Casado-Vara Zita Vale Javier Prieto Juan M. Corchado |
| author_facet | Roberto Casado-Vara Zita Vale Javier Prieto Juan M. Corchado |
| author_sort | Roberto Casado-Vara |
| collection | DOAJ |
| description | The 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. |
| first_indexed | 2024-04-11T21:49:28Z |
| format | Article |
| id | doaj.art-82c76d6803aa4fba9971ac863638aa67 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T21:49:28Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-82c76d6803aa4fba9971ac863638aa672022-12-22T04:01:16ZengMDPI AGEnergies1996-10732018-12-011112343010.3390/en11123430en11123430Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart BuildingsRoberto Casado-Vara0Zita Vale1Javier Prieto2Juan M. Corchado3BISITE Digital Innovation Hub, University of Salamanca. Edificio Multiusos I+D+i, 37007 Salamanca, SpainGECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and DevelopmentInstitute of Engineering—Polytechnic of Porto (ISEP/IPP), 4249-015 Porto, PortugalBISITE Digital Innovation Hub, University of Salamanca. Edificio Multiusos I+D+i, 37007 Salamanca, SpainBISITE Digital Innovation Hub, University of Salamanca. Edificio Multiusos I+D+i, 37007 Salamanca, SpainThe 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.https://www.mdpi.com/1996-1073/11/12/3430control systemfault-tolerant controlalgorithm design and analysisIoT (Internet of Things)nonlinear control |
| spellingShingle | Roberto Casado-Vara Zita Vale Javier Prieto Juan M. Corchado Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings Energies control system fault-tolerant control algorithm design and analysis IoT (Internet of Things) nonlinear control |
| title | Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings |
| title_full | Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings |
| title_fullStr | Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings |
| title_full_unstemmed | Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings |
| title_short | Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings |
| title_sort | fault tolerant temperature control algorithm for iot networks in smart buildings |
| topic | control system fault-tolerant control algorithm design and analysis IoT (Internet of Things) nonlinear control |
| url | https://www.mdpi.com/1996-1073/11/12/3430 |
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