Completion Time Minimization for Data Collection in a UAV-enabled IoT Network: A Deep Reinforcement Learning Approach
Author:
Affiliation:
1. New Jersey Institute of Technology, USA
2. Advanced Networking Laboratory, Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA
Funder
U.S. National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/4356907/10143233.pdf?arnumber=10143233
Reference36 articles.
1. Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms
2. Simultaneous Wireless Information and Power Transfer for Multiuser UAV-Enabled IoT Networks
3. Federated learning for 6G communications: Challenges, methods, and future directions
4. Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks
5. Lead federated neuromorphic learning for wireless edge artificial intelligence
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