An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11390-022-2419-8.pdf
Reference44 articles.
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2. Liu D X, Xu Y H, Wang J L, Chen J, Yao K L, Wu Q H, Anpalagan A. Opportunistic UAV utilization in wireless networks: Motivations, applications, and challenges. IEEE Communications Magazine, 2020, 58(5): 62-68. DOI: https://doi.org/10.1109/MCOM.001.1900687.
3. Ma M, Yang Y Y, Zhao M. Tour planning for mobile data-gathering mechanisms in wireless sensor networks. IEEE Trans. Vehicular Technology, 2013, 62(4): 1472-1483. DOI: https://doi.org/10.1109/TVT.2012.2229309.
4. Zhan C, Zeng Y, Zhang R. Energy-efficient data collection in UAV enabled wireless sensor network. IEEE Wireless Communications Letters, 2018, 7(3): 328-331. DOI: https://doi.org/10.1109/LWC.2017.2776922.
5. Chai C L, Liu J B, Tang N, Li G L, Luo Y Y. Selective data acquisition in the wild for model charging. Proceedings of the VLDB Endowment, 2022, 15(7): 1466-1478. DOI: https://doi.org/10.14778/3523210.3523223.
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