Adaptive Learning-Based Secure and Energy-Aware Resource Management for Multi-Mode Low-Carbon PIoT-Reference-Cited by-同舟云学术

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Adaptive Learning-Based Secure and Energy-Aware Resource Management for Multi-Mode Low-Carbon PIoT

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Liao Haijun¹,Jia Zehan¹,Wang Zhao¹,Zhou Zhenyu¹,Wang Xiaoyan²,Mumtaz Shahid³,Guizani Mohsen⁴

Affiliation:

1. North China Electric Power University,Hebei Key Laboratory of Power Internet of Things Technology,Beijing,Hebei,China,102206

2. Graduate School of Science and Engineering, Ibaraki University,Ibaraki-ken,Japan

3. Instituto de Telecomunicações,Aveiro,Portugal,3810-193

4. Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI),Machine Learning Department,UAE

Funder

State Grid Corporation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001389.pdf?arnumber=10001389

Reference23 articles.

1. Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning

2. Robust Mobile Crowd Sensing: When Deep Learning Meets Edge Computing

3. User-Centric View of Unmanned Aerial Vehicle Transmission Against Smart Attacks

4. Secrecy Outage Analysis in NOMA Power Line Communications

5. Optimal UAV Caching and Trajectory in Aerial-Assisted Vehicular Networks: A Learning-Based Approach

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1. Live Power Generation Predictions via AI-Driven Resilient Systems in Smart Microgrids;IEEE Transactions on Consumer Electronics;2024-02

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