A Threat-Aware and Efficient Wireless Charging Scheme for IoT Networks
Author:
Affiliation:
1. Université de Technologie de Compiègne, CNRS,Heudiasyc (Heuristics and Diagnosis of Complex Systems) CS,Compiègne cedex,France,60319 60203
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10182387/10182368/10182833.pdf?arnumber=10182833
Reference25 articles.
1. Dynamic Charging Scheme Problem With Actor–Critic Reinforcement Learning
2. A deep reinforcement learning-based on-demand charging algorithm for wireless rechargeable sensor networks
3. Deep Learning Models for Cyber Security in IoT Networks
4. IoTDefender: A Federated Transfer Learning Intrusion Detection Framework for 5G IoT
5. Q-learning-based, Optimized On-demand Charging Algorithm in WRSN
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