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Optimal Movements of UAV using Reinforcement Learning in Emergency Environment
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Publication Year
2022-01-01
Journal
International Conference on ICT Convergence
Publisher
IEEE Computer Society
Citation
International Conference on ICT Convergence, Vol.2022-October, pp.1248-1250
Keyword
Disaster environmentIndoor-to-outdoorReinforcement learningUnmanned aerial vehiclesWar scenario
Mesh Keyword
Aerial vehicleCellular networkDisaster environmentIndoor-to-outdoorOptimal movementsPath-basedReinforcement learningsTraffic demandsUnmanned aerial vehicleWar scenario
All Science Classification Codes (ASJC)
Information SystemsComputer Networks and Communications
Abstract
Unmanned aerial vehicles (UAVs) serve as aerial base stations when the cellular network is unavailable in war and disaster environment. In the most papers considering UAV as aerial base station consider only outdoor users. However, the most traffic demand occurs from indoor users, thus, not only outdoor users but also indoor users should be considered. Moreover, it is necessary to find the optimal movement of the UAV to support both outdoor and indoor users. In this paper, we propose an optimal UAV path based on reinforcement learning that can support both indoor and outdoor users in disaster and war scenario where have dynamic changes. Simulation results show the reward composed with throughput and service many users in the presence of both indoor and outdoor users. In addition, the UAV support indoor users first with higher service priority due to an emergency.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36820
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85143255910&origin=inward
DOI
https://doi.org/10.1109/ictc55196.2022.9952915
Journal URL
http://ieeexplore.ieee.org/xpl/conferences.jsp
Type
Conference
Funding
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2021R1A4A1030775), and by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2022-2018-0-01424) 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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