UAV computing-assisted search and rescue mission framework for disaster and harsh environment mitigation

Alsamhi, Saeed Hamood and Shvetsov, Alexey and Kumar, Santosh and Shvetsova, Svetlana and Alhartomi, Mohammed A. and Hawbani, Ammar and Rajput, Navin Singh and Srivastava, Sumit and Saif, Abdu and Nyangaresi, Vincent Omollo (2022) UAV computing-assisted search and rescue mission framework for disaster and harsh environment mitigation. Drones, 6 (7). ISSN 2504-446X, DOI

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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.

Item Type: Article
Funders: Science 596 Foundation Ireland (SFI) (Grant No: SFI/16/RC/3918), Marie Sklodowska-Curie 597 grant - European Regional Development Fund (Grant No: 847577), NCC Laboratory, Department of Electronics Engineering, IIT (BHU), India (Grant No: IS/ST/EC-13-14/02), I-DAPT HUB Foundation, IIT(BHU), India (Grant No: R&D/SA/I-DAPT IIT(BHU)/ECE/21-22/02/290)
Uncontrolled Keywords: UAV computing; Search and rescue; Disaster management; Harsh environments
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 27 Oct 2023 08:54
Last Modified: 27 Oct 2023 08:54

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