An overview of emergency communication networks

Wang, Q., Li, W., Yu, Z., Abbasi, Q. , Imran, M. , Ansari, S. , Sambo, Y. , Wu, L., Li, Q. and Zhu, T. (2023) An overview of emergency communication networks. Remote Sensing, 15(6), 1595. (doi: 10.3390/rs15061595)

Abstract

In recent years, major natural disasters and public safety accidents have frequently occurred worldwide. In order to deal with various disasters and accidents using rapidly deployable, reliable, efficient, and stable emergency communication networks, all countries in the world are strengthening and improving emergency communication network construction and related technology research. Motivated by these situations, in this paper, we provide a state-of-the-art survey of the current situation and development of emergency communication networks. In this detailed investigation, our primary focus is the extensive discussion of emergency communication network technology, including satellite networks, ad hoc networks, cellular networks, and wireless private networks. Then, we explore and analyze the networks currently applied in emergency rescue, such as the 370M narrowband private network, broadband cluster network, and 5G constellation plan. We propose a broadband-narrowband integrated emergency communication network to provide an effective solution for visual dispatch of emergency rescue services. The main findings derived from the comprehensive survey on the emergency communication network are then summarized, and possible research challenges are noted. Lastly, we complete this survey by shedding new light on future directions for the emergency communication network. In the future, the emergency network will develop in the direction of intelligence, integration, popularization, and lower cost, and space-air-ground-sea integrated networks. This survey provides a reference basis for the construction of networks to mitigate major natural disasters and public safety accidents.

• Item Type: Articles
• Additional Information: This research was funded by Shaanxi Province key industry innovation chain project (Grant No. 2020ZDLGY15-07) and China Scholarship Fund.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Sambo, Dr Yusuf and Yu, Zheqi and Ansari, Dr Shuja and Imran, Professor Muhammad and Abbasi, Professor Qammer
• Authors: Wang, Q., Li, W., Yu, Z., Abbasi, Q., Imran, M., Ansari, S., Sambo, Y., Wu, L., Li, Q., and Zhu, T.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: Remote Sensing
• Publisher: MDPI
• ISSN: 2072-4292
• ISSN (Online): 2072-4292
• Published Online: 15 March 2023
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Remote Sensing 15(6): 1595
• Publisher Policy: Reproduced under a Creative Commons License