The Dynamic Movement of Disaster Management Systems Based on Vehicle Networks and Applied on the Healthcare System

Author:

Alazzam Malik Bader1ORCID,Alassery Fawaz2ORCID

Affiliation:

1. Faculty of Computer Science and Informatics, Amman Arab University, Jordan

2. Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

Abstract

In order to save human life and assets, the emergency management system (DMS) requires roving rescue teams to respond promptly and effectively. Installation and restoration of appropriate communication infrastructure are important for reducing the effect of disasters and enabling and coordinating information flow among relief teams working in the region. This paper describes a data collection system based on vehicular cloud network services that incorporates the advantages of both architectures of vehicular ad hoc networks (VANETs) with the cloud to establish vehicular cloud networks (VCNs). Vehicles in the current plan perform tasks like monitoring the environment, gathering data, and transmitting data to the control center depending on their positions and instructions. To build a disaster management system, the proposed system uses hybrid wireless networking, which includes both a central system and ad hoc networks. The implementation results show that the suggested system is more dependable and efficient; even light density is improved in terms of reachability with few hops. Furthermore, as compared to the existing system, the suggested system has a lower end-to-end delay and a higher packet delivery ratio.

Funder

Taif University

Publisher

Hindawi Limited

Subject

Biomedical Engineering,Bioengineering,Medicine (miscellaneous),Biotechnology

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rescue Relief Agency Management For Disaster Recovery;International Journal of Advanced Research in Science, Communication and Technology;2024-05-05

2. Retracted: The Dynamic Movement of Disaster Management Systems Based on Vehicle Networks and Applied on the Healthcare System;Applied Bionics and Biomechanics;2023-11-01

3. Diagnosis of Pneumonia using Image Recognition Techniques;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17

4. Photocatalytic Performance Study of Organophosphorus-Doped Tungsten Trioxide and Composite Materials;International Journal of Chemical Engineering;2022-08-24

5. Detection of Pneumonia Infection by Using Deep Learning on a Mobile Platform;Computational Intelligence and Neuroscience;2022-07-30

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