| Title |
Situation Aware Intelligent Reasoning During Disaster Situation In Smart Cities |
| ID_Doc |
48999 |
| Authors |
Saleem K.; Akhtar S.M.; Nazir M.; Almadhor A.S.; Zikria Y.B.; Ahmad R.Z.; Kim S.W. |
| Year |
2022 |
| Published |
Frontiers in Psychology, 13 |
| DOI |
http://dx.doi.org/10.3389/fpsyg.2022.970789 |
| Abstract |
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. |
| Author Keywords |
BDI mechanism; disaster management system; edge intelligence; intelligent decision support system; multi-agent system; situation-awareness; smart cities |
