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

Abstract

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

CLC Number:

TN929.5

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.

Figures/Tables 7

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

References 25

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