| Autor: |
Kiran Saleem, Salwa Muhammad Akhtar, Makia Nazir, Ahmad S. Almadhor, Yousaf Bin Zikria, Rana Zeeshan Ahmad, Sung Won Kim |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Frontiers in Psychology, Vol 13 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1664-1078 |
| DOI: |
10.3389/fpsyg.2022.970789 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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