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Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction

At present, IoT and intelligent applications are developed on a large scale. However, these types of new applications require stable wireless connectivity with sensors, based on several standards of communication, such as ZigBee, LoRA, nRF, Bluetooth, or cellular (LTE, 5G, etc.). The continuous expa...

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Detalles Bibliográficos
Autores principales: Minea, Marius, Minea, Viviana Laetitia, Semenescu, Augustin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346617/
https://www.ncbi.nlm.nih.gov/pubmed/37447861
http://dx.doi.org/10.3390/s23136012
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author Minea, Marius
Minea, Viviana Laetitia
Semenescu, Augustin
author_facet Minea, Marius
Minea, Viviana Laetitia
Semenescu, Augustin
author_sort Minea, Marius
collection PubMed
description At present, IoT and intelligent applications are developed on a large scale. However, these types of new applications require stable wireless connectivity with sensors, based on several standards of communication, such as ZigBee, LoRA, nRF, Bluetooth, or cellular (LTE, 5G, etc.). The continuous expansion of these networks and services also comes with the requirement of a stable level of service, which makes the task of maintenance operators more difficult. Therefore, in this research, an integrated solution for the management of preventive maintenance is proposed, employing software-defined sensing for hardware components, applications, and client satisfaction. A specific algorithm for monitoring the levels of services was developed, and an integrated instrument to assist the management of preventive maintenance was proposed, which are based on the network of future states prediction. A case study was also investigated for smart city applications to verify the expandability and flexibility of the approach. The purpose of this research is to improve the efficiency and response time of the preventive maintenance, helping to rapidly recover the required levels of service, thus increasing the resilience of complex systems.
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spelling pubmed-103466172023-07-15 Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction Minea, Marius Minea, Viviana Laetitia Semenescu, Augustin Sensors (Basel) Article At present, IoT and intelligent applications are developed on a large scale. However, these types of new applications require stable wireless connectivity with sensors, based on several standards of communication, such as ZigBee, LoRA, nRF, Bluetooth, or cellular (LTE, 5G, etc.). The continuous expansion of these networks and services also comes with the requirement of a stable level of service, which makes the task of maintenance operators more difficult. Therefore, in this research, an integrated solution for the management of preventive maintenance is proposed, employing software-defined sensing for hardware components, applications, and client satisfaction. A specific algorithm for monitoring the levels of services was developed, and an integrated instrument to assist the management of preventive maintenance was proposed, which are based on the network of future states prediction. A case study was also investigated for smart city applications to verify the expandability and flexibility of the approach. The purpose of this research is to improve the efficiency and response time of the preventive maintenance, helping to rapidly recover the required levels of service, thus increasing the resilience of complex systems. MDPI 2023-06-28 /pmc/articles/PMC10346617/ /pubmed/37447861 http://dx.doi.org/10.3390/s23136012 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Minea, Marius
Minea, Viviana Laetitia
Semenescu, Augustin
Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction
title Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction
title_full Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction
title_fullStr Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction
title_full_unstemmed Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction
title_short Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction
title_sort smart preventive maintenance of hybrid networks and iot systems using software sensing and future state prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346617/
https://www.ncbi.nlm.nih.gov/pubmed/37447861
http://dx.doi.org/10.3390/s23136012
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