Author:
Guo Shen,Wang Peng,Zhang Jichuan,Lin Jiaying,Bai Shuaitao,Sun Haoyang,Wang Shi
Publisher
Springer Nature Singapore
Reference13 articles.
1. Du, Y., Yang, K., Wang, K., Zhang, G., Zhao, Y., Chen, D.: Joint resources and workflow scheduling in UAV-enabled wirelessly-powered MEC for IoT systems. IEEE Trans. Veh. Technol. 68(10), 10187–10200 (2019)
2. Zhao, W., Xu, M., Cheng, X., Zhao, Z.: An Insulator in transmission lines recognition and fault detection model based on improved faster RCNN. IEEE Trans. Instrum. Meas. 70, 1–8 (2021)
3. Nie, Y., Zhao, J., Gao, F., Yu, F.R.: Semi-distributed resource management in UAV-aided MEC systems: a multi-agent federated reinforcement learning approach. IEEE Trans. Veh. Technol. https://doi.org/10.1109/TVT.2021.3118446
4. Liu, X., Yu, J., Wang, J., Gao, Y.: Resource allocation with edge computing in IoT networks via machine learning. IEEE Internet Things J. 7(4), 3415–3426 (2020)
5. Pan, S., Chen, Y.: Energy-optimal scheduling of mobile cloud computing based on a modified Lyapunov optimization method. IEEE Trans. Green Commun. Netw. 3(1), 227–235 (2019)
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