JOURNAL ARTICLE

Designing UAV-aided emergency networks for large-scale disaster scenarios

Margot DeruyckJorg WyckmansWout JosephLuc Martens

Year: 2018 Journal:   EURASIP Journal on Wireless Communications and Networking Vol: 2018 (1)   Publisher: Springer Nature

Abstract

Abstract ■■■ Today’s wireless communication networks are very reliable. However, in case of a disaster, these networks can be overwhelmed by a tremendous amount of requests which they can not cope with. We propose a deployment tool for UAV (unmanned aerial vehicle)-aided emergency networks for such disaster scenarios. By using UAVs, femtocell base stations will be brought to and hovered at their assigned location. We applied this deployment tool on a realistic disaster scenario in the city center of Ghent, Belgium. The results are very promising although a large amount of drones (> 1000 type 1 or > 370 type 2 drones) is required to provide full coverage for 1 h. Halving the user coverage results in 1.8 to 2 times less drones. More effectively is to increase the drone’s fly height. A 10-m higher fly height can result in a reduction up to 13%. However, above 100 m, the influence is not significant any more. Decreasing the user’s service level has no significant influence on the number of required drones for the considered scenario. Furthermore, a prediction model for the number of required drones based on the intervention duration and the user coverage is proposed.

Keywords:
Computer science Scale (ratio) Data science Cartography

Metrics

76
Cited By
16.87
FWCI (Field Weighted Citation Impact)
35
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

UAV Applications and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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