基于物联网跟踪和机器学习的区块链供应链管理。

IF 2.3 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC EURASIP Journal on Wireless Communications and Networking Pub Date : 2022-01-01 DOI:10.1186/s13638-022-02209-0
Zhongping Dong, Wei Liang, Yan Liang, Weibo Gao, Yi Lu
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引用次数: 6

摘要

在运行和管理现代供应链方面,6G物联网(IoT)至关重要。为了为物联网提供安全性和自动化,区块链和机器学习是两种可以提供帮助的上层技术。首先,我们建议在现代供应链中利用区块链,以确保各方之间的高效协作。其次,采用基于多头注意(MHA)的门控循环单元(GRU)进行入站物流任务预测。最后,数值结果证明了基于多头注意力的GRU模型具有更好的拟合效率和预测精度。
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Blockchained supply chain management based on IoT tracking and machine learning.

When it comes to running and managing modern supply chains, 6G Internet of things (IoT) is of utmost importance. To provide IoT with security and automation, blockchain and machine learning are two upper-layer technology that can help. First, we propose to utilize blockchain in modern supply chains to ensure efficient collaboration between all parties. Second, we adopt multi-head attention (MHA)-based gated recurrent unit (GRU) to do inbound logistics task prediction. Finally, numerical results justify that multi-head attention-based GRU model has better fitting efficiency and prediction accuracy than its counterparts.

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来源期刊
CiteScore
7.70
自引率
3.80%
发文量
109
审稿时长
8.0 months
期刊介绍: The overall aim of the EURASIP Journal on Wireless Communications and Networking (EURASIP JWCN) is to bring together science and applications of wireless communications and networking technologies with emphasis on signal processing techniques and tools. It is directed at both practicing engineers and academic researchers. EURASIP Journal on Wireless Communications and Networking will highlight the continued growth and new challenges in wireless technology, for both application development and basic research. Articles should emphasize original results relating to the theory and/or applications of wireless communications and networking. Review articles, especially those emphasizing multidisciplinary views of communications and networking, are also welcome. EURASIP Journal on Wireless Communications and Networking employs a paperless, electronic submission and evaluation system to promote a rapid turnaround in the peer-review process. The journal is an Open Access journal since 2004.
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