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

被引:0
|
作者
He, Qiang [1 ]
Li, Ji [1 ]
Zhu, Xiaogang [2 ,3 ]
Jolfaei, Alireza [4 ]
Feng, Zheng [1 ]
Tolba, Amr [5 ]
Yu, Keping [6 ]
Fu, Yukai [7 ]
机构
[1] Northeastern Univ, Coll Med & Biol Informat Engn, Shenyang 110169, Peoples R China
[2] Nanchang Univ, Sch Publ Policy & Adm, Nanchang 330031, Jiangxi, Peoples R China
[3] Jiangxi Inst Ind Technol Internet Things, Sch Elect & Informat Engn, Yingtan 335000, Jiangxi, Peoples R China
[4] Flinders Univ S Australia, Coll Sci & Engn, Adelaide, SA 5042, Australia
[5] King Saud Univ, Community Coll, Comp Sci Dept, Riyadh 11437, Saudi Arabia
[6] Hosei Univ, Grad Sch Sci & Engn, Tokyo 1028160, Japan
[7] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China
来源
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING | 2024年 / 8卷 / 03期
基金
中国国家自然科学基金;
关键词
Servers; Computer architecture; Internet of Things; Task analysis; Energy consumption; Security; Optimization; Mobile edge computing; radio access networks; resource allocation; energy consumption; Q-learning algorithm; RADIO; OPTIMIZATION; ARCHITECTURE; EDGE;
D O I
10.1109/TGCN.2024.3379960
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
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.
引用
收藏
页码:1008 / 1017
页数:10
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