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Situation aware intelligent reasoning during disaster situation in smart cities
Investigating prior methodologies, it has come to our knowledge that in smart cities, a disaster management system needs an autonomous reasoning mechanism to efficiently enhance the situation awareness of disaster sites and reduce its after-effects. Disasters are unavoidable events that occur at any...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394515/ https://www.ncbi.nlm.nih.gov/pubmed/36003113 http://dx.doi.org/10.3389/fpsyg.2022.970789 |
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author | Saleem, Kiran Akhtar, Salwa Muhammad Nazir, Makia Almadhor, Ahmad S. Zikria, Yousaf Bin Ahmad, Rana Zeeshan Kim, Sung Won |
author_facet | Saleem, Kiran Akhtar, Salwa Muhammad Nazir, Makia Almadhor, Ahmad S. Zikria, Yousaf Bin Ahmad, Rana Zeeshan Kim, Sung Won |
author_sort | Saleem, Kiran |
collection | PubMed |
description | Investigating prior methodologies, it has come to our knowledge that in smart cities, a disaster management system needs an autonomous reasoning mechanism to efficiently enhance the situation awareness of disaster sites and reduce its after-effects. Disasters are unavoidable events that occur at anytime and anywhere. Timely response to hazardous situations can save countless lives. Therefore, this paper introduces a multi-agent system (MAS) with a situation-awareness method utilizing NB-IoT, cyan industrial Internet of things (IIOT), and edge intelligence to have efficient energy, optimistic planning, range flexibility, and handle the situation promptly. We introduce the belief-desire-intention (BDI) reasoning mechanism in a MAS to enhance the ability to have disaster information when an event occurs and perform an intelligent reasoning mechanism to act efficiently in a dynamic environment. Moreover, we illustrate the framework using a case study to determine the working of the proposed system. We develop ontology and a prototype model to demonstrate the scalability of our proposed system. |
format | Online Article Text |
id | pubmed-9394515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93945152022-08-23 Situation aware intelligent reasoning during disaster situation in smart cities Saleem, Kiran Akhtar, Salwa Muhammad Nazir, Makia Almadhor, Ahmad S. Zikria, Yousaf Bin Ahmad, Rana Zeeshan Kim, Sung Won Front Psychol Psychology Investigating prior methodologies, it has come to our knowledge that in smart cities, a disaster management system needs an autonomous reasoning mechanism to efficiently enhance the situation awareness of disaster sites and reduce its after-effects. Disasters are unavoidable events that occur at anytime and anywhere. Timely response to hazardous situations can save countless lives. Therefore, this paper introduces a multi-agent system (MAS) with a situation-awareness method utilizing NB-IoT, cyan industrial Internet of things (IIOT), and edge intelligence to have efficient energy, optimistic planning, range flexibility, and handle the situation promptly. We introduce the belief-desire-intention (BDI) reasoning mechanism in a MAS to enhance the ability to have disaster information when an event occurs and perform an intelligent reasoning mechanism to act efficiently in a dynamic environment. Moreover, we illustrate the framework using a case study to determine the working of the proposed system. We develop ontology and a prototype model to demonstrate the scalability of our proposed system. Frontiers Media S.A. 2022-08-08 /pmc/articles/PMC9394515/ /pubmed/36003113 http://dx.doi.org/10.3389/fpsyg.2022.970789 Text en Copyright © 2022 Saleem, Akhtar, Nazir, Almadhor, Zikria, Ahmad and Kim. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Saleem, Kiran Akhtar, Salwa Muhammad Nazir, Makia Almadhor, Ahmad S. Zikria, Yousaf Bin Ahmad, Rana Zeeshan Kim, Sung Won Situation aware intelligent reasoning during disaster situation in smart cities |
title | Situation aware intelligent reasoning during disaster situation in smart cities |
title_full | Situation aware intelligent reasoning during disaster situation in smart cities |
title_fullStr | Situation aware intelligent reasoning during disaster situation in smart cities |
title_full_unstemmed | Situation aware intelligent reasoning during disaster situation in smart cities |
title_short | Situation aware intelligent reasoning during disaster situation in smart cities |
title_sort | situation aware intelligent reasoning during disaster situation in smart cities |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394515/ https://www.ncbi.nlm.nih.gov/pubmed/36003113 http://dx.doi.org/10.3389/fpsyg.2022.970789 |
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