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Blockchain-Enabled Edge Intelligence for IoT: Background, Emerging Trends and Open Issues Du, Yao; Wang, Zehua; Leung, Victor Chung Ming, 1955-

Abstract

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.

Item Metadata

Title
Blockchain-Enabled Edge Intelligence for IoT: Background, Emerging Trends and Open Issues
Creator
Du, Yao; Wang, Zehua; Leung, Victor Chung Ming, 1955-
Publisher
Multidisciplinary Digital Publishing Institute
Date Issued
2021-02-17
Description
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.
Subject
Internet of Things; blockchain; multi-access edge computing; machine learning
Genre
Article
Type
Text
Language
eng
Date Available
2021-03-10
Provider
Vancouver : University of British Columbia Library
Rights
CC BY 4.0
DOI
10.14288/1.0396085
URI
http://hdl.handle.net/2429/77511
Affiliation
Applied Science, Faculty of; Non UBC; Electrical and Computer Engineering, Department of
Citation
Future Internet 13 (2): 48 (2021)
Publisher DOI
10.3390/fi13020048
Peer Review Status
Reviewed
Scholarly Level
Faculty
Rights URI
https://creativecommons.org/licenses/by/4.0/
Aggregated Source Repository
DSpace

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CC BY 4.0