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

Selected Works of Mohsen Guizani

Article

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

2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings

Haijun Liao, North China Electric Power University (Baoding)
Zehan Jia, North China Electric Power University (Baoding)
Zhao Wang, North China Electric Power University (Baoding)
Zhenyu Zhou, North China Electric Power University (Baoding)
Xiaoyan Wang, Ibaraki University
Shahid Mumtaz, Instituto de Telecomunicacoes
Mohsen Guizani, Mohamed Bin Zayed University of Artificial Intelligence

Link

Document Type

Conference Proceeding

Abstract

Multi-mode power internet of things (PIoT) provides spatio-temporal coverage for low-carbon operation in smart park through combining various communication media. Heterogeneous resources are dynamically and intelligently managed to improve resource utilization and achieve anti-eavesdropping. However, resource management in multi-mode power IoT confronts challenges such as the mutual contradiction in joint communication and security quality of service (QoS) guarantee and the inadaptability to low-carbon services. In this paper, we propose an Adaptive learning-based secure and energy-aware resource management algorithm (ANGEL) to optimize multi-mode channel selection and power splitting for artificial noise (AN)-based anti-eavesdropping. Based on deep actor-critic (DAC) and 'win or learn fast (WoLF)' mechanism, ANGEL can realize multi-attribute QoS guarantee, adaptive resource management, and security enhancement. Simulation results demonstrate its superior performance in energy consumption, secrecy capacity, and adaptability to differentiated low-carbon services.© 2022 IEEE.

DOI

10.1109/GLOBECOM48099.2022.10001389

Publication Date

1-11-2023

Keywords

Carbon,
Energy utilization,
Natural resources management,
Parks,
Power management,
Quality of service,
Resource allocation,
Security systems

Disciplines

Comments

IR conditions: non-described

Citation Information

H. Liao et al., "Adaptive Learning-Based Secure and Energy-Aware Resource Management for Multi-Mode Low-Carbon PIoT," GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 5171-5176, doi: 10.1109/GLOBECOM48099.2022.10001389.