Digital twin empowered lightweight and efficient blockchain for dynamic internet of vehicles

被引:0
|
作者
Haoye Chai [1 ,2 ]
Supeng Leng [1 ,2 ]
Jianhua He [3 ]
Ke Zhang [1 ,2 ]
机构
[1] School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC)
[2] Shenzhen Institute for Advanced Study,UESTC
[3] School of Computer Science and Electronic Engineering, University of
关键词
D O I
暂无
中图分类号
TN929.5 [移动通信]; TP311.13 []; U495 [电子计算机在公路运输和公路工程中的应用];
学科分类号
1201 ; 0838 ;
摘要
The Internet of Vehicles(Io V) has great potential for Intelligent Transportation Systems(ITS), enabling interactive vehicle applications, such as advanced driving and infotainment. It is crucial to ensure the reliability during the vehicle-to-vehicle interaction process. Although the emerging blockchain has superiority in handling security-related issues, existing blockchain-based schemes show weakness in highly dynamic Io V. Both the transaction broadcast and consensus process require multiple rounds of communication throughout the whole network, while the high relative speed between vehicles and dynamic topology resulting in the intermittent connections will degrade the efficiency of blockchain. In this paper, we propose a Digital Twin(DT)-enabled blockchain framework for dynamic Io V, which aims to reduce both the communication cost and the operational latency of blockchain. To address the dynamic context, we propose a DT construction strategy that jointly considers the DT migration and blockchain computing consumption. Moreover, a communication-efficient Local Perceptual Multi-Agent Deep Deterministic Policy Gradient(LPMA-DDPG) algorithm is designed to execute the DT construction strategy among edge servers in a decentralized manner. The simulation results show that the proposed framework can greatly reduce the communication cost, while achieving good security performance. The dynamic DT construction strategy shows superiority in operation latency compared with benchmark strategies. The decentralized LPMA-DDPG algorithm is helpful for implementing the optimal DT construction strategy in practical ITS.
引用
收藏
页码:1698 / 1707
页数:10
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