NDLI: UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation

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UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation

Content Provider	MDPI
Author	Alsamhi, Saeed Hamood Shvetsov, Alexey V. Kumar, Santosh Shvetsova, Svetlana V. Alhartomi, Mohammed A. Hawbani, Ammar Rajput, Navin Singh Srivastava, Sumit Saif, Abdu Nyangaresi, Vincent Omollo
Copyright Year	2022
Description	Disasters are crisis circumstances that put human life in jeopardy. During disasters, public communication infrastructure is particularly damaged, obstructing Search And Rescue (SAR) efforts, and it takes significant time and effort to re-establish functioning communication infrastructure. SAR is a critical component of mitigating human and environmental risks in disasters and harsh environments. As a result, there is an urgent need to construct communication networks swiftly to help SAR efforts exchange emergency data. UAV technology has the potential to provide key solutions to mitigate such disaster situations. UAVs can be used to provide an adaptable and reliable emergency communication backbone and to resolve major issues in disasters for SAR operations. In this paper, we evaluate the network performance of UAV-assisted intelligent edge computing to expedite SAR missions and functionality, as this technology can be deployed within a short time and can help to rescue most people during a disaster. We have considered network parameters such as delay, throughput, and traffic sent and received, as well as path loss for the proposed network. It is also demonstrated that with the proposed parameter optimization, network performance improves significantly, eventually leading to far more efficient SAR missions in disasters and harsh environments.
Starting Page	154
e-ISSN	2504446X
DOI	10.3390/drones6070154
Journal	Drones
Issue Number	7
Volume Number	6
Language	English
Publisher	MDPI
Publisher Date	2022-06-22
Access Restriction	Open
Subject Keyword	Drones Industrial Engineering Uav Computing Search and Rescue Disaster Management Harsh Environments
Content Type	Text
Resource Type	Article

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