 Optimized unmanned aerial vehicle pathway system in disaster resilience networkYi-Wei Ma and Desti Syuhada International Journal of Critical Infrastructure Protection, 2024, vol. 47, issue C Abstract: After a disaster, the interruption of networks in affected areas is a significant challenge, exacerbated by the malfunction of base stations and the complete absence of network infrastructure. Hence, the objective of this study is to achieve a systematic and well-supported path in the post-disaster system through the optimization of coverage area and the provision of high-quality service. Therefore, this study aims to enhance the extent of coverage and transmission efficiency by considering the specific needs of users to establish a logical and systematic flight path of Unmanned Aerial Vehicles (UAVs) in a post-disaster scenario. This study demonstrates a 12.7 % availability advantage over random methods that do not consider users and only generalize cluster length. This study optimizes the performance of the UAV by adjusting its altitude position best to meet the requirements of its coverage and transmission quality. Keywords: Unmanned Aerial Vehicle (UAV); Post-disaster area; K-means clustering; Trajectory planning; Stay time duration; Resilience network; Decision making (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ijocip:v:47:y:2024:i:c:s1874548224000672 DOI: 10.1016/j.ijcip.2024.100726 Access Statistics for this article International Journal of Critical Infrastructure Protection is currently edited by Leon Strous More articles in International Journal of Critical Infrastructure Protection from Elsevier |
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