Review and implementation of resilient public safety networks: 5G, IoT, and emerging technologies

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Ali, Kamran, Nguyen, Huan X., Vien, Quoc-Tuan, Shah, Purav, Raza, Mohsin, Paranthaman, Vishnu V., Er-Rahmadi, Btissam, Awais, Muhammad ORCID: https://orcid.org/0000-0001-6421-9245, ul Islam, Saif and Rodrigues, Joel J. P. C. (2021) Review and implementation of resilient public safety networks: 5G, IoT, and emerging technologies. IEEE Network, 35 (2). pp. 18-25. ISSN 0890-8044

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Abstract

This article highlights the importance of Internet of Things (IoT) and 5G networks in sustainable cities, focusing on disaster management systems. It also discusses suitable 5G communication technologies in disaster affected and communications outage areas. The article surveys various potential emerging communication technologies such as IoT, device-to-device communications, vehicular networks, cloud and fog computing, unmanned aerial vehicles, and sensor networks for disaster situations. The presented work offers insight in collaborative solutions using diverse technologies, which benefit from ever rising wireless connected devices to support communications in natural catastrophes. The article also presents extensive taxonomy for disaster communication systems and shares key results in selected areas. The key requirements for successful deployment of a robust communications system are also presented.

Item Type:	Article
Additional Information:	Funding Information: This work was supported in part by a UKIERI grant, ID’DST UKIERI-2018-19-011 and in part by an Institutional Links grant, ID 429715093, under the Newton Programme Vietnam partnership. The work is also partially supported by FCT/MCTES through national funds and, when applicable, cofounded EU funds under the project UIDB/50008/2020; and the Brazilian National Council for Scientific and Technological Development (CNPq) via Grant no. 313036/2020-9.
Uncontrolled Keywords:	software,information systems,hardware and architecture,computer networks and communications,sdg 11 - sustainable cities and communities ,/dk/atira/pure/subjectarea/asjc/1700/1712
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and AI
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	25 Nov 2023 03:18
Last Modified:	10 Dec 2024 01:42
URI:	https://ueaeprints.uea.ac.uk/id/eprint/93758
DOI:	10.1109/mnet.011.2000418

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