Blockchain enabled task offloading based on edge cooperation in the digital twin vehicular edge network

被引:6
|
作者
Li, Chunhai [1 ]
Chen, Qiyong [1 ]
Chen, Mingfeng [2 ]
Su, Zhaoyu [2 ]
Ding, Yong [3 ]
Lan, Dapeng [4 ]
Taherkordi, Amir [4 ]
机构
[1] Guilin Univ Elect Technol, Sch Informat & Commun, Guilin, Peoples R China
[2] Guilin Univ Elect Technol, Sch Artificial Intelligence, Guilin, Peoples R China
[3] Guilin Univ Elect Technol, Sch Comp Sci & Informat Secur, Guilin, Peoples R China
[4] Univ Oslo, Dept Informat, Oslo, Norway
基金
中国国家自然科学基金;
关键词
Digital twin; Blockchain; Edge cooperation; Improved cuckoo algorithm; OPTIMIZATION;
D O I
10.1186/s13677-023-00496-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid development of the Internet of Vehicles (IoV) along with the emergence of intelligent applications have put forward higher requirements for massive task offloading. Even though Mobile Edge Computing (MEC) can diminish network transmission delay and ease network congestion, the constrained heterogeneous resources of a single edge server and the highly dynamic topology of vehicular edge networks may compromise the efficiency of task offloading, including latency and energy consumption. Vehicular edge networks are also vulnerable to malicious outside attacks. In this paper, we propose a new blockchain-enabled digital twin vehicular edge network (DTVEN) where digital twin (DT) is exploited to monitor network communication, computation, and caching (3C) resources management in real time to provide rich data for offloading decision-making, and blockchain is utilized to secure fair and decentralized offloading transactions among DTs. To ensure 3C resources sharing across edge servers, we design a DT-assisted edge cooperation scheme, which makes full use of edge resources in vehicular networks. Furthermore, a DT-based smart contract is built to achieve a quick and effective consensus process. Then, we apply a task offloading algorithm based on an improved cuckoo algorithm (ICA) and a resource allocation scheme based on greedy strategy to minimize network cost by comprehensively taking into account latency and energy consumption. Numerical results demonstrate that our proposed scheme outperforms the existing schemes in terms of network cost.
引用
收藏
页数:15
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