A Novel Harvesting and Data Collection Using UAV with Beamforming in Heterogeneous Wireless Sensor-Clustered Networks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4634-1_61
Reference11 articles.
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3. Liu F, Jiang C, Xiao W (2021) Multistep prediction-based adaptive dynamic programming sensor scheduling approach for collaborative target tracking in energy harvesting wireless sensor networks. IEEE Trans Autom Sci Eng 18(2):693–704. https://doi.org/10.1109/TASE.2020.3019567
4. Kosunalp S (2016) A new energy prediction algorithm for energy-harvesting wireless sensor networks with Q-learning. IEEE Access 4:5755–5763. https://doi.org/10.1109/ACCESS.2016.2606541
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