A novel system to control and forecast QoX performance in IoT‐based monitoring platforms
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This work was supported by Grant PID2020-116329GB-C22 funded by MCIN/AEI/10.13039/501100011033.Fecha de publicación
2023-09-14Editorial
WileyCita bibliográfica
Martinez‐Caro, J.‐M., Tasic, I., Cano, M.‐D.: A novel system to control and forecast QoX performance in IoT‐based monitoring platforms. IET Wirel. Sens. Syst. 13(5), 178–189 (2023). https:// doi.org/10.1049/wss2.12066Revisión por pares
siPalabras clave
Artificial intelligenceDeep learning
Internet of things
Performance evaluation
Quality of service
Resumen
Communication architectures based on the Internet of Things (IoT) are increasingly
frequent. Commonly, these solutions are used to carry out control and monitoring activities. It is easy to find cases for manufacturing, prediction maintenance, Smart Cities, etc.,
where sensors are deployed to capture data that is sent to the cloud through edge devices or
gateways. Then that data is processed to provide useful information and perform additional
actions if required. As crucial as deploying these monitoring solutions is to verify their
operation. In this article, we propose a novel warning method to monitor the performance
of IoT‐based systems. The proposal is based on a holistic quality model called Quality of X
(QoX). QoX refers to the use of a variety of metrics to measure system performance at
different quality dimensions. These quality dimensions are data (Quality of Data, QoD),
information (Quality of Information, QoI), users' experience (Quality of user Experience,
QoE), ...
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