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Multi-UAV placements to minimize power consumption in urban environment
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Publication Year
2019-01-01
Journal
Advances in Intelligent Systems and Computing
Publisher
Springer Verlag
Citation
Advances in Intelligent Systems and Computing, Vol.935, pp.306-314
Keyword
Non-hierarchicalOptimization theoryPositioningPower consumptionUAV
Mesh Keyword
Capacity fairnessHierarchical methodLow-power consumptionNon-hierarchicalOptimization theoryPerformance analysisPositioningUrban environments
All Science Classification Codes (ASJC)
Control and Systems EngineeringComputer Science (all)
Abstract
In this paper, we find optimal multi-Unmanned Aerial Vehicle (UAV) placements with the low power consumption of UAV in an urban environment. To solve the NP-hard problem, we use non-hierarchical method. Performance analysis shows that average power consumption of UAV according to the number of UAVs and the relationship between power consumption and capacity fairness of UAV.
ISSN
2194-5365
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36408
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066866177&origin=inward
DOI
https://doi.org/10.1007/978-3-030-19063-7_25
Journal URL
http://www.springer.com/series/11156
Type
Conference Paper
Funding
Acknowledgments. This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (2018-0-01424) supervised by the IITP (Institute for Information & communications Technology Promotion).
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Kim, Jae-Hyun Image
Kim, Jae-Hyun김재현
Department of Electrical and Computer Engineering
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