Multi-Drone Edge Intelligence and SAR Smart Wearable Devices for Emergency Communication

Disasters, either manmade or natural, call for rapid and timely actions. Due to disaster, all of the communication infrastructures are destroyed, and there is no way for connection between people in disaster and others outside the disaster range. Drone technology is the critical technology for deliv...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Saeed Hamood Alsamhi, Faris A. Almalki, Hatem AL-Dois, Alexey V. Shvetsov, Mohammad Samar Ansari, Ammar Hawbani, Sachin Kumar Gupta, Brian Lee
Formato: article
Lenguaje:EN
Publicado: Hindawi-Wiley 2021
Materias:
T
Acceso en línea:https://doaj.org/article/fc56b51a19594b18bd595bf4e7462164
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:fc56b51a19594b18bd595bf4e7462164
record_format dspace
spelling oai:doaj.org-article:fc56b51a19594b18bd595bf4e74621642021-11-15T01:20:06ZMulti-Drone Edge Intelligence and SAR Smart Wearable Devices for Emergency Communication1530-867710.1155/2021/6710074https://doaj.org/article/fc56b51a19594b18bd595bf4e74621642021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6710074https://doaj.org/toc/1530-8677Disasters, either manmade or natural, call for rapid and timely actions. Due to disaster, all of the communication infrastructures are destroyed, and there is no way for connection between people in disaster and others outside the disaster range. Drone technology is the critical technology for delivering communication services and guiding people and monitoring the unwanted effects of a disaster. The collaboration of advanced technologies can reduce life losses, save people’s lives, and manage the disaster crisis. The network performance of collaboration between the Internet of Things (IoT) and drone edge intelligence can help gather and process data, extend the wireless coverage area, deliver medical emergencies, provide real-time information about the emergency, and gather data from areas that are impossible for humans to reach. In this paper, we focus on the network performance for efficient collaboration of drone edge intelligence and smart wearable devices for disaster management. We focus mainly on network connectivity parameters for improving real-time data sharing between the drone edge intelligence and smart wearable devices. The relevant parameters that are considered in this study include delay, throughput, and the load from drone edge intelligence. It is further shown that network performance can have significant improvement when the abovementioned parameters are correctly optimised, and the improved performance can significantly improve the guiding/coordinating of search and rescue (SAR) teams effectively and efficiently.Saeed Hamood AlsamhiFaris A. AlmalkiHatem AL-DoisAlexey V. ShvetsovMohammad Samar AnsariAmmar HawbaniSachin Kumar GuptaBrian LeeHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology
T
Telecommunication
TK5101-6720
spellingShingle Technology
T
Telecommunication
TK5101-6720
Saeed Hamood Alsamhi
Faris A. Almalki
Hatem AL-Dois
Alexey V. Shvetsov
Mohammad Samar Ansari
Ammar Hawbani
Sachin Kumar Gupta
Brian Lee
Multi-Drone Edge Intelligence and SAR Smart Wearable Devices for Emergency Communication
description Disasters, either manmade or natural, call for rapid and timely actions. Due to disaster, all of the communication infrastructures are destroyed, and there is no way for connection between people in disaster and others outside the disaster range. Drone technology is the critical technology for delivering communication services and guiding people and monitoring the unwanted effects of a disaster. The collaboration of advanced technologies can reduce life losses, save people’s lives, and manage the disaster crisis. The network performance of collaboration between the Internet of Things (IoT) and drone edge intelligence can help gather and process data, extend the wireless coverage area, deliver medical emergencies, provide real-time information about the emergency, and gather data from areas that are impossible for humans to reach. In this paper, we focus on the network performance for efficient collaboration of drone edge intelligence and smart wearable devices for disaster management. We focus mainly on network connectivity parameters for improving real-time data sharing between the drone edge intelligence and smart wearable devices. The relevant parameters that are considered in this study include delay, throughput, and the load from drone edge intelligence. It is further shown that network performance can have significant improvement when the abovementioned parameters are correctly optimised, and the improved performance can significantly improve the guiding/coordinating of search and rescue (SAR) teams effectively and efficiently.
format article
author Saeed Hamood Alsamhi
Faris A. Almalki
Hatem AL-Dois
Alexey V. Shvetsov
Mohammad Samar Ansari
Ammar Hawbani
Sachin Kumar Gupta
Brian Lee
author_facet Saeed Hamood Alsamhi
Faris A. Almalki
Hatem AL-Dois
Alexey V. Shvetsov
Mohammad Samar Ansari
Ammar Hawbani
Sachin Kumar Gupta
Brian Lee
author_sort Saeed Hamood Alsamhi
title Multi-Drone Edge Intelligence and SAR Smart Wearable Devices for Emergency Communication
title_short Multi-Drone Edge Intelligence and SAR Smart Wearable Devices for Emergency Communication
title_full Multi-Drone Edge Intelligence and SAR Smart Wearable Devices for Emergency Communication
title_fullStr Multi-Drone Edge Intelligence and SAR Smart Wearable Devices for Emergency Communication
title_full_unstemmed Multi-Drone Edge Intelligence and SAR Smart Wearable Devices for Emergency Communication
title_sort multi-drone edge intelligence and sar smart wearable devices for emergency communication
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/fc56b51a19594b18bd595bf4e7462164
work_keys_str_mv AT saeedhamoodalsamhi multidroneedgeintelligenceandsarsmartwearabledevicesforemergencycommunication
AT farisaalmalki multidroneedgeintelligenceandsarsmartwearabledevicesforemergencycommunication
AT hatemaldois multidroneedgeintelligenceandsarsmartwearabledevicesforemergencycommunication
AT alexeyvshvetsov multidroneedgeintelligenceandsarsmartwearabledevicesforemergencycommunication
AT mohammadsamaransari multidroneedgeintelligenceandsarsmartwearabledevicesforemergencycommunication
AT ammarhawbani multidroneedgeintelligenceandsarsmartwearabledevicesforemergencycommunication
AT sachinkumargupta multidroneedgeintelligenceandsarsmartwearabledevicesforemergencycommunication
AT brianlee multidroneedgeintelligenceandsarsmartwearabledevicesforemergencycommunication
_version_ 1718428961679081472