Joint Data Offloading and Energy-Efficient Secure MEC Resource Allocation Method for IoT Device Data in RAN Communication

• Published in: IEEE transactions on green communications and networking 2024-09, Vol.8 (3), p.1008-1017
• Main Authors: He, Qiang, Li, Ji, Zhu, Xiaogang, Jolfaei, Alireza, Feng, Zheng, Tolba, Amr, Yu, Keping, Fu, Yukai
• Format: Article
• Language: English
• Subjects: Computer architecture; Energy consumption; Internet of Things; Mobile edge computing; Multi-access edge computing; Optimization; Q-learning; Q-learning algorithm; Radio access networks; resource allocation; Resource management; Security; Servers; Task analysis
• ISSN: 2473-2400; 2473-2400
• DOI: 10.1109/TGCN.2024.3379960

As information technology rapidly advances, 5G technology, Radio Access Networks (RAN), and the Internet of Things (IoT) have emerged as the core elements of next-generation communication technology. There is an increasing demand for real-time communication and reduced latency in various applications. Therefore, this paper proposes a four-layer Mobile Edge Computing (MEC) architecture that connects user devices to the core network using RAN. Blockchain verification is used for data storage and access permission separation. The architecture aims to address the high latency, low flexibility, and security issues in cloud computing communication. We also propose a MEC server location algorithm to optimize communication distance, and a Q-learning algorithm for selection and resource allocation. Experimental results demonstrate significant energy savings compared to baseline algorithms.