Blockchained supply chain management based on IoT tracking and machine learning

EURASIP Journal on Wireless Communications and Networking

Research

Yan Liang¹  Weibo Gao¹  Yi Lu¹  Zhongping Dong¹  Wei Liang¹ 

[1] China Telecom Research Institute, Beijing, China;

关键词: Internet of things (IoT);    Supply chains;    Blockchain;    Machine learning (ML);    Big data;    GRU;    Multi-head attention;   

DOI  :  10.1186/s13638-022-02209-0

 received in 2022-09-26, accepted in 2022-12-21,  发布年份 2022

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY   
© The Author(s) 2022

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