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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.
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
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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