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Assessing the Role of AI-Based Smart Sensors in Smart Cities Using AHP and MOORA

We know that in today’s advanced world, artificial intelligence (AI) and machine learning (ML)-grounded methodologies are playing a very optimistic role in performing difficult and time-consuming activities very conveniently and quickly. However, for the training and testing of these procedures, the...

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Autores principales: Khan, Habib Ullah, Nazir, Shah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824052/
https://www.ncbi.nlm.nih.gov/pubmed/36617089
http://dx.doi.org/10.3390/s23010494
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author Khan, Habib Ullah
Nazir, Shah
author_facet Khan, Habib Ullah
Nazir, Shah
author_sort Khan, Habib Ullah
collection PubMed
description We know that in today’s advanced world, artificial intelligence (AI) and machine learning (ML)-grounded methodologies are playing a very optimistic role in performing difficult and time-consuming activities very conveniently and quickly. However, for the training and testing of these procedures, the main factor is the availability of a huge amount of data, called big data. With the emerging techniques of the Internet of Everything (IoE) and the Internet of Things (IoT), it is very feasible to collect a large volume of data with the help of smart and intelligent sensors. Based on these smart sensing devices, very innovative and intelligent hardware components can be made for prediction and recognition purposes. A detailed discussion was carried out on the development and employment of various detectors for providing people with effective services, especially in the case of smart cities. With these devices, a very healthy and intelligent environment can be created for people to live in safely and happily. With the use of modern technologies in integration with smart sensors, it is possible to use energy resources very productively. Smart vehicles can be developed to sense any emergency, to avoid injuries and fatal accidents. These sensors can be very helpful in management and monitoring activities for the enhancement of productivity. Several significant aspects are obtained from the available literature, and significant articles are selected from the literature to properly examine the uses of sensor technology for the development of smart infrastructure. The analytical hierarchy process (AHP) is used to give these attributes weights. Finally, the weights are used with the multi-objective optimization on the basis of ratio analysis (MOORA) technique to provide the different options in their order of importance.
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spelling pubmed-98240522023-01-08 Assessing the Role of AI-Based Smart Sensors in Smart Cities Using AHP and MOORA Khan, Habib Ullah Nazir, Shah Sensors (Basel) Article We know that in today’s advanced world, artificial intelligence (AI) and machine learning (ML)-grounded methodologies are playing a very optimistic role in performing difficult and time-consuming activities very conveniently and quickly. However, for the training and testing of these procedures, the main factor is the availability of a huge amount of data, called big data. With the emerging techniques of the Internet of Everything (IoE) and the Internet of Things (IoT), it is very feasible to collect a large volume of data with the help of smart and intelligent sensors. Based on these smart sensing devices, very innovative and intelligent hardware components can be made for prediction and recognition purposes. A detailed discussion was carried out on the development and employment of various detectors for providing people with effective services, especially in the case of smart cities. With these devices, a very healthy and intelligent environment can be created for people to live in safely and happily. With the use of modern technologies in integration with smart sensors, it is possible to use energy resources very productively. Smart vehicles can be developed to sense any emergency, to avoid injuries and fatal accidents. These sensors can be very helpful in management and monitoring activities for the enhancement of productivity. Several significant aspects are obtained from the available literature, and significant articles are selected from the literature to properly examine the uses of sensor technology for the development of smart infrastructure. The analytical hierarchy process (AHP) is used to give these attributes weights. Finally, the weights are used with the multi-objective optimization on the basis of ratio analysis (MOORA) technique to provide the different options in their order of importance. MDPI 2023-01-02 /pmc/articles/PMC9824052/ /pubmed/36617089 http://dx.doi.org/10.3390/s23010494 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
Khan, Habib Ullah
Nazir, Shah
Assessing the Role of AI-Based Smart Sensors in Smart Cities Using AHP and MOORA
title Assessing the Role of AI-Based Smart Sensors in Smart Cities Using AHP and MOORA
title_full Assessing the Role of AI-Based Smart Sensors in Smart Cities Using AHP and MOORA
title_fullStr Assessing the Role of AI-Based Smart Sensors in Smart Cities Using AHP and MOORA
title_full_unstemmed Assessing the Role of AI-Based Smart Sensors in Smart Cities Using AHP and MOORA
title_short Assessing the Role of AI-Based Smart Sensors in Smart Cities Using AHP and MOORA
title_sort assessing the role of ai-based smart sensors in smart cities using ahp and moora
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824052/
https://www.ncbi.nlm.nih.gov/pubmed/36617089
http://dx.doi.org/10.3390/s23010494
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