UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation
The work
| Title | UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation |
|---|---|
| Authors | Saeed Hamood Alsamhi; Alexey V. Shvetsov; Santosh Kumar; Svetlana V. Shvetsova; Mohammed A. Alhartomi; Ammar Hawbani; Navin Singh Rajput; Sumit Srivastava; Abdu Saif; Vincent Omollo Nyangaresi |
| Type | article |
| Year | 2022 |
| Citekey | alsamhi2022computingassisted |
Where it appeared
| Published in | Drones |
|---|---|
| Publisher | MDPI AG |
| Volume | 6 |
| Issue | 7 |
| Pages | 154 |
Identifiers
| DOI | 10.3390/drones6070154 |
|---|
Access
| Landing page | https://doi.org/10.3390/drones6070154 |
|---|---|
| Free full text | https://www.mdpi.com/2504-446X/6/7/154/pdf?version=1655982172 |
Abstract
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.
Copy held
| Kind | PDF, 13.4 MB |
|---|---|
| Retrieved | 2026-08-11 |
| Held | local, for personal reference |
| Where it came from | https://doi.org/10.3390/drones6070154 |
Where this came from
| How it got here | the agent went looking · found via crossref |
|---|---|
| First seen | 2026-08-11 |
| Record | not reviewed by a person |
| Approved | 2026-08-16 |
Cite it as
@article{alsamhi2022computingassisted,
title = {UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation},
author = {Saeed Hamood Alsamhi and Alexey V. Shvetsov and Santosh Kumar and Svetlana V. Shvetsova and Mohammed A. Alhartomi and Ammar Hawbani and Navin Singh Rajput and Sumit Srivastava and Abdu Saif and Vincent Omollo Nyangaresi},
year = {2022},
journal = {Drones},
volume = {6},
number = {7},
pages = {154},
publisher = {MDPI AG},
doi = {10.3390/drones6070154},
url = {https://www.mdpi.com/2504-446X/6/7/154/pdf?version=1655982172},
}
This record lives at https://refs.drheap.org/alsamhi2022computingassisted/ and will keep doing so.