Disaster Region Coverage Using Drones: Maximum Area Coverage and Minimum Resource Utilisation

Article


Munawar, Hafiz Suliman, Hammad, Ahmed W.A. and Waller, S. Travis. 2022. "Disaster Region Coverage Using Drones: Maximum Area Coverage and Minimum Resource Utilisation." Drones. 6 (4), pp. 1-28. https://doi.org/10.3390/drones6040096
Article Title

Disaster Region Coverage Using Drones: Maximum Area Coverage and Minimum Resource Utilisation

ERA Journal ID212296
Article CategoryArticle
AuthorsMunawar, Hafiz Suliman, Hammad, Ahmed W.A. and Waller, S. Travis
Journal TitleDrones
Journal Citation6 (4), pp. 1-28
Article Number96
Number of Pages28
Year2022
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN2504-446X
Digital Object Identifier (DOI)https://doi.org/10.3390/drones6040096
Web Address (URL)https://www.mdpi.com/2504-446X/6/4/96
Abstract

The purpose of this study is to develop a design for maximum area drone coverage in a post-disaster flood situation. When it comes to covering a disaster-region for monitoring and detection of the extent of damage and losses, a suitable and technically balanced approach is vital to achieving the best solution while covering the maximum affected area. Therefore, a mathematical optimisation model is proposed to effectively capture maximum images of the impacted region. The particle swarm optimisation (PSO) algorithm is used to solve the optimisation problem. Modern relief missions heavily rely on drones, specifically in the case of flooding, to capture the damage due to the disaster and to create roadmaps to help impacted people. This system has convincing results for inertia, exploration, exploitation, velocity, and determining the height of the drones to enhance the response to a disaster. The proposed approach indicates that when maintaining the flight height of the drone above 120 m, the coverage can be enhanced by approximately 34% compared with a flight height of 100 m.

Keywordsdisaster areas; disaster response; drone coverage; drones; maximum area coverage; minimum resource utilisation; power consumption; PSO; UAVs
Byline AffiliationsUniversity of New South Wales
Library Services
Permalink -

https://research.usq.edu.au/item/w7559/disaster-region-coverage-using-drones-maximum-area-coverage-and-minimum-resource-utilisation

Download files


Published Version
drones-06-00096-v2.pdf
License: CC BY 4.0
File access level: Anyone

  • 18
    total views
  • 38
    total downloads
  • 6
    views this month
  • 4
    downloads this month

Export as

Related outputs

Towards 6G Internet of Things: Recent advances, use cases, and open challenges
Qadir, Zakria, Le, Khoa N., Saeed, N. and Munawar, Hafiz Suliman. 2023. "Towards 6G Internet of Things: Recent advances, use cases, and open challenges." ICT Express. 9 (3), pp. 296-312. https://doi.org/10.1016/j.icte.2022.06.006
An AI/ML-Based Strategy for Disaster Response and Evacuation of Victims in Aged Care Facilities in the Hawkesbury-Nepean Valley: A Perspective
Munawar, Hafiz Suliman, Mojtahedi, Mohammad, Hammad, Ahmed W. A., Ostwald, Michael J. and Waller, S. Travis. 2022. "An AI/ML-Based Strategy for Disaster Response and Evacuation of Victims in Aged Care Facilities in the Hawkesbury-Nepean Valley: A Perspective." Buildings. 12 (1), pp. 1-23. https://doi.org/10.3390/buildings12010080
Disruptive technologies as a solution for disaster risk management: A review
Munawar, Hafiz Suliman, Mojtahedi, Mohammad, Hammad, Ahmed W.A., Kouzani, Abbas and Mahmud, M. A. Parvez. 2022. "Disruptive technologies as a solution for disaster risk management: A review." Science of the Total Environment. 806 (Part 3). https://doi.org/10.1016/j.scitotenv.2021.151351
Remote Sensing Methods for Flood Prediction: A Review
Munawar, Hafiz Suliman, Hammad, Ahmed W. A. and Waller, S. Travis. 2022. "Remote Sensing Methods for Flood Prediction: A Review." Sensors. 22 (3), pp. 1-21. https://doi.org/10.3390/s22030960
Using Adaptive Sensors for Optimised Target Coverage in Wireless Sensor Networks
Akram, Junaid, Munawar, Hafiz Suliman, Kouzani, Abbas Z. and Mahmud, M. A. Parvez. 2022. "Using Adaptive Sensors for Optimised Target Coverage in Wireless Sensor Networks." Sensors. 22 (3), pp. 1-23. https://doi.org/10.3390/s22031083
Automatic Target Detection from Satellite Imagery Using Machine Learning
Tahir, Arsalan, Munawar, Hafiz Suliman, Akram, Junaid, Adil, Muhammad, Ali, Shehryar, Kouzani, Abbas Z. and Mahmud, M. A. Parvez. 2022. "Automatic Target Detection from Satellite Imagery Using Machine Learning." Sensors. 22 (3), pp. 1-22. https://doi.org/10.3390/s22031147
Insights into the Mobility Pattern of Australians during COVID-19
Munawar, Hafiz Suliman, Khan, Sara Imran, Qadir, Zakria, Kiani, Yusra Sajid, Kouzani, Abbas Z. and Mahmud, M. A. Parvez. 2021. "Insights into the Mobility Pattern of Australians during COVID-19." Sustainability. 13 (17), pp. 1-19. https://doi.org/10.3390/su13179611
A prototype of an energy-efficient MAGLEV train: A step towards cleaner train transport
Qadir, Zakria, Munir, Arslan, Ashfaq, Tehreem, Munawar, Hafiz Suliman, Khan, Muazzam A. and Le, Khoa. 2021. "A prototype of an energy-efficient MAGLEV train: A step towards cleaner train transport." Cleaner Engineering and Technology. 4, pp. 1-11. https://doi.org/10.1016/j.clet.2021.100217
Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids
Qadir, Zakria, Khan, Sara Imran, Khalaji, Erfan, Munawar, Hafiz Suliman, Al-Turjman, Fadi, Mahmud, M. A. Parvez, Kouzani, Abbas Z. and Le, Khoa. 2021. "Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids." Energy Reports. 7, pp. 8465-8475. https://doi.org/10.1016/j.egyr.2021.01.018
A review on flood management technologies related to image processing and machine learning
Munawar, Hafiz Suliman, Hammad, Ahmed W. A. and Waller, S. Travis. 2021. "A review on flood management technologies related to image processing and machine learning." Automation in Construction. 132, pp. 1-18. https://doi.org/10.1016/j.autcon.2021.103916
Cloud- and Fog-Integrated Smart Grid Model for Efficient Resource Utilisation
Akram, Junaid, Tahir, Arsalan, Munawar, Hafiz Suliman, Akram, Awais, Kouzani, Abbas Z. and Mahmud, M. A. Parvez. 2021. "Cloud- and Fog-Integrated Smart Grid Model for Efficient Resource Utilisation." Sensors. 21 (23), pp. 1-22. https://doi.org/10.3390/s21237846
Promoting Customer Loyalty and Satisfaction in Financial Institutions through Technology Integration: The Roles of Service Quality, Awareness, and Perceptions
Iqbal, Kamran, Munawar, Hafiz Suliman, Inam, Hina and Qayyum, Siddra. 2021. "Promoting Customer Loyalty and Satisfaction in Financial Institutions through Technology Integration: The Roles of Service Quality, Awareness, and Perceptions." Sustainability. 13 (23), pp. 1-20. https://doi.org/10.3390/su132312951