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Integrating Edge Intelligence and Blockchain = What, Why, and How /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Integrating Edge Intelligence and Blockchain/ by Xiaofei Wang, Chao Qiu, Xiaoxu Ren, Zehui Xiong, Victor C. M. Leung, Dusit Niyato.
Reminder of title:
What, Why, and How /
Author:
Wang, Xiaofei.
other author:
Qiu, Chao.
Description:
XII, 111 p. 24 illus., 23 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Telecommunication. -
Online resource:
https://doi.org/10.1007/978-3-031-10186-1
ISBN:
9783031101861
Integrating Edge Intelligence and Blockchain = What, Why, and How /
Wang, Xiaofei.
Integrating Edge Intelligence and Blockchain
What, Why, and How /[electronic resource] :by Xiaofei Wang, Chao Qiu, Xiaoxu Ren, Zehui Xiong, Victor C. M. Leung, Dusit Niyato. - 1st ed. 2022. - XII, 111 p. 24 illus., 23 illus. in color.online resource. - Wireless Networks,2366-1445. - Wireless Networks,.
Introduction -- Fundamentals of Edge Intelligence and Blockchain -- Edge Intelligence -- Blockchain -- Motivations of EI-chain and Chain-intelligence -- The Benefit of EI-chain and Chain-intelligence -- EI-Chain -- Chain-Intelligence: Intelligentializing Blockchain -- Beyond Edge -- Multi-role Applications for Consensus Protocol -- Conclusion.
This book examines whether the integration of edge intelligence (EI) and blockchain (BC) can open up new horizons for providing ubiquitous intelligent services. Accordingly, the authors conduct a summarization of the recent research efforts on the existing works for EI and BC, further painting a comprehensive picture of the limitation of EI and why BC could benefit EI. To examine how to integrate EI and BC, the authors discuss the BC-driven EI and tailoring BC to EI, including an overview, motivations, and integrated frameworks. Finally, some challenges and future directions are explored. The book explores the technologies associated with the integrated system between EI and BC, and further bridges the gap between immature BC and EI-amicable BC. Explores the integration of edge intelligence (EI) and blockchain (BC), including their integrated motivations, frameworks and challenges; Presents how BC-driven EI can realize computing-power management, data administration, and model optimization; Describes how to tailor BC to better support EI, including flexible consensus protocol, effective incentive mechanism, intellectuality smart contract, and scalable BC system tailoring; Presents some key research challenges and future directions for the integrated system.
ISBN: 9783031101861
Standard No.: 10.1007/978-3-031-10186-1doiSubjects--Topical Terms:
568341
Telecommunication.
LC Class. No.: TK5101-5105.9
Dewey Class. No.: 621.382
Integrating Edge Intelligence and Blockchain = What, Why, and How /
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Introduction -- Fundamentals of Edge Intelligence and Blockchain -- Edge Intelligence -- Blockchain -- Motivations of EI-chain and Chain-intelligence -- The Benefit of EI-chain and Chain-intelligence -- EI-Chain -- Chain-Intelligence: Intelligentializing Blockchain -- Beyond Edge -- Multi-role Applications for Consensus Protocol -- Conclusion.
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This book examines whether the integration of edge intelligence (EI) and blockchain (BC) can open up new horizons for providing ubiquitous intelligent services. Accordingly, the authors conduct a summarization of the recent research efforts on the existing works for EI and BC, further painting a comprehensive picture of the limitation of EI and why BC could benefit EI. To examine how to integrate EI and BC, the authors discuss the BC-driven EI and tailoring BC to EI, including an overview, motivations, and integrated frameworks. Finally, some challenges and future directions are explored. The book explores the technologies associated with the integrated system between EI and BC, and further bridges the gap between immature BC and EI-amicable BC. Explores the integration of edge intelligence (EI) and blockchain (BC), including their integrated motivations, frameworks and challenges; Presents how BC-driven EI can realize computing-power management, data administration, and model optimization; Describes how to tailor BC to better support EI, including flexible consensus protocol, effective incentive mechanism, intellectuality smart contract, and scalable BC system tailoring; Presents some key research challenges and future directions for the integrated system.
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