RT info:eu-repo/semantics/article
T1 Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings
A1 Casado Vara, Roberto Carlos
A1 Vale, Zita
A1 Prieto, Javier
A1 Corchado, Juan M.
K1 Control system
K1 Fault-Tolerant control
K1 Algorithm desing and analysis
K1 IoT (Internet of Things)
K1 Nonlinear control
K1 Informática
K1 Computer science
AB The monitoring of the Internet of things networks depends to a great extent on theavailability and correct functioning of all the network nodes that collect data. This networknodes all of which must correctly satisfy their purpose to ensure the efficiency and high qualityof monitoring and control of the internet of things networks. This paper focuses on the problemof 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 novelfeedback model-based predictive hybrid control algorithm is proposed to improve the maintenanceand reliability of the internet of things network. Virtual sensors are substituted for the sensors thatthe algorithm predicts will not function properly in future time intervals; this allows for maintainingreliable monitoring and control of the internet of things network. In this way, the internet of thingsnetwork improves its robustness since our fault tolerant control algorithm finds the malfunction nodesthat are collecting incorrect data and self-correct this issue replacing malfunctioning sensors withnew 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 controlmodel 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 conductedcase study.
PB MDPI
YR 2018
FD 2018-12
LK http://hdl.handle.net/10259/7262
UL http://hdl.handle.net/10259/7262
LA eng
NO This paper has been partially supported by the Salamanca Ciudad de Cultura y Saberes Foundation under the Talent Attraction Programme (CHROMOSOME project).
DS Repositorio Institucional de la Universidad de Burgos
RD 24-dic-2024