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  • 标题:Blockchain-Enabled Edge Intelligence for IoT: Background, Emerging Trends and Open Issues
  • 本地全文:下载
  • 作者:Yao Du ; Zehua Wang ; Victor C. M. Leung
  • 期刊名称:Future Internet
  • 电子版ISSN:1999-5903
  • 出版年度:2021
  • 卷号:13
  • 期号:2
  • 页码:48
  • DOI:10.3390/fi13020048
  • 出版社:MDPI Publishing
  • 摘要:Blockchain, a distributed ledger technology (DLT), refers to a list of records with consecutive time stamps. This decentralization technology has become a powerful model to establish trust among trustless entities, in a verifiable manner. Motivated by the recent advancement of multi-access edge computing (MEC) and artificial intelligence (AI), blockchain-enabled edge intelligence has become an emerging technology for the Internet of Things (IoT). We review how blockchain-enabled edge intelligence works in the IoT domain, identify the emerging trends, and suggest open issues for further research. To be specific: (1) we first offer some basic knowledge of DLT, MEC, and AI; (2) a comprehensive review of current peer-reviewed literature is given to identify emerging trends in this research area; and (3) we discuss some open issues and research gaps for future investigations. We expect that blockchain-enabled edge intelligence will become an important enabler of future IoT, providing trust and intelligence to satisfy the sophisticated needs of industries and society.
  • 关键词:Internet of Things; blockchain; multi-access edge computing; machine learning Internet of Things ; blockchain ; multi-access edge computing ; machine learning
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