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Performance Comparison of Heuristic Algorithms for UAV Deployment with Low Power Consumption
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Publication Year
2018-11-16
Journal
9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018, pp.1067-1069
Keyword
Genetic AlgorithmOptimization TheoryParticle Swarm OptimizationPower consumptionUAV
Mesh Keyword
Hierarchical methodLow-power consumptionMulti UAVOptimization theoryPath-loss modelPerformance comparisonThreedimensional (3-d)
All Science Classification Codes (ASJC)
Computer Networks and CommunicationsComputer Science ApplicationsInformation SystemsInformation Systems and ManagementArtificial Intelligence
Abstract
To minimize power consumption of UAV is one of the big challenges in the UAV deployment. However, it is NP-hard problem due to the pathloss models for Air-to-Ground (A2G) in three-dimensional (3D) area. Therefore many heuristic algorithms are used to solve the UAV deployment. In this paper, we compare the performance of heuristic algorithms for optimal UAV deployment. Among the many heuristic algorithms, we consider Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Non-hierarchical method which are mostly used for UAV deployment according to each scenario. Performance results show that PSO has better performance than GA in a single UAV case, and Non-hierarchical method has better performance than PSO in multi-UAV case.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36288
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85059454468&origin=inward
DOI
https://doi.org/10.1109/ictc.2018.8539485
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8509497
Type
Conference
Funding
This work has been supported by the Future Combat System Network Technology Research Center program of Defense Acquisition Program Administration and Agency for Defense Development.(UD160070BD)ACKNOWLEDGMENT This work has been supported by the Future Combat System Network Technology Research Center program of Defense Acquisition Program Administration and Agency for Defense Development.(UD160070BD)
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Kim, Jae-Hyun김재현
Department of Electrical and Computer Engineering
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