面向数字孪生边缘网络的区块链分片及资源自适应优化机制

doi:10.11959/j.issn.1000-436x.2023044

通信学报 ›› 2023, Vol. 44 ›› Issue (3): 12-23.doi: 10.11959/j.issn.1000-436x.2023044

面向数字孪生边缘网络的区块链分片及资源自适应优化机制

蒋丽¹, 谢胜利², 田辉³

¹ 广东工业大学自动化学院，广东广州 510006
² 广东工业大学物联网信息技术广东省重点实验室，广东广州 510006
³ 北京邮电大学信息与通信工程学院，北京 100876

修回日期:2023-01-10 出版日期:2023-03-25 发布日期:2023-03-01
作者简介:蒋丽（1986- ），女，四川简阳人，博士，广东工业大学讲师，主要研究方向为B5G/6G网络、物联网、移动边缘计算、数字孪生、边缘智能和区块链等
谢胜利（1956- ），男，湖北荆州人，博士，广东工业大学教授，主要研究方向为智能信息处理、无线通信与网络、多媒体传输、射频识别等
田辉（1963- ），女，河南郑州人，博士，北京邮电大学教授，主要研究方向为无线网络资源管理、移动边缘计算、边缘智能、无线自组织网络、移动社交网络等
基金资助:
国家重点研发计划基金资助项目(2020YFB1807801);移动通信教育部工程研究中心开放研究基金资助项目(cqupt-mct-202003)

Adaptive resource optimization mechanism for blockchain sharding in digital twin edge network

Li JIANG¹, Shengli XIE², Hui TIAN³

¹ School of Automation, Guangdong University of Technology, Guangzhou 510006, China
² Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou 510006, China
³ School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Revised:2023-01-10 Online:2023-03-25 Published:2023-03-01
Supported by:
The National Key Research and Development Program of China(2020YFB1807801);Engineering Research Center of Mobile Communications, Ministry of Education(cqupt-mct-202003)

摘要/Abstract

摘要：

为了解决数字孪生边缘网络数据共享面临的隐私和安全问题，提出一种基于区块链分片的数字孪生边缘网络数据安全共享机制。考虑动态时变的数字孪生边缘网络和边缘网络孪生模型与物理网络映射误差，建立联合多播簇头选择、本地基站（BS）共识接入选择、频谱和计算共识资源分配的自适应资源优化模型，实现最大化区块链分片交易吞吐量的目标。在数字孪生边缘网络环境下，提出双层近端策略优化（PPO）算法，求解自适应资源优化问题。仿真结果表明，所提算法可以有效改善区块链分片交易吞吐量。同时，在适应映射误差方面优于传统深度强化学习算法。

关键词: 数字孪生边缘网络, 区块链分片, 近端策略优化

Abstract:

To address the security and privacy issues for data sharing in digital twin edge networks, a new distributed and secure data sharing mechanism was developed by leveraging blockchain sharding.Considering dynamic and time varying features in digital twin edge networks and mapping errors of physic networks, an adaptive resource allocation model was formulated which jointly optimized cluster head selection, local base station (BS) consensus access selection, spectrum and computation consensus resources allocation, in order to maximize transactional throughput for the blockchain sharding.Moreover, a digital twin edge networks empowered two-layered proximal policy optimization (PPO) algorithm was designed to obtain the optimal solutions.Numerical results illustrate that the proposed algorithm can effectively improve the transactional throughput for the blockchain sharding.Meanwhile, it can well adapt to the mapping errors.

Key words: digital twin edge network, blockchain sharding, PPO

中图分类号:

TN929.5

蒋丽, 谢胜利, 田辉. 面向数字孪生边缘网络的区块链分片及资源自适应优化机制[J]. 通信学报, 2023, 44(3): 12-23.

Li JIANG, Shengli XIE, Hui TIAN. Adaptive resource optimization mechanism for blockchain sharding in digital twin edge network[J]. Journal on Communications, 2023, 44(3): 12-23.

图/表 7

图1

图2

表1

仿真参数"

参数	取值
子信道带宽/MHz	W₀=30
子信道个数	50
计算负载/MHz	o _l=1
AP j_k信誉值	$ϑ_{j_{k}} =[0 .1, 0 .8]$
交易到达速率	λ=30
交易大小/KB	$\| m_{j_{k}} \| = [1, 30]$
区块大小/MB	S_B,q=[1,10]
确认阈值	CW_th=600
验证节点个数	V=21
神经网络训练批次	b=60

表1

图3

图4

图5

图6

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面向数字孪生边缘网络的区块链分片及资源自适应优化机制

Adaptive resource optimization mechanism for blockchain sharding in digital twin edge network

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