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

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 application...

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Bibliographic Details
Published inIEEE transactions on green communications and networking Vol. 8; no. 3; pp. 1008 - 1017
Main Authors He, Qiang, Li, Ji, Zhu, Xiaogang, Jolfaei, Alireza, Feng, Zheng, Tolba, Amr, Yu, Keping, Fu, Yukai
Format Journal Article
LanguageEnglish
Published IEEE 01.09.2024
Subjects
Computer architecture
Energy consumption
Internet of Things
Mobile edge computing
Optimization
Q-learning algorithm
radio access networks
resource allocation
Security
Servers
Task analysis
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Summary: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.
ISSN:2473-2400
2473-2400
DOI:10.1109/TGCN.2024.3379960