000 04019nam a22006015i 4500
001 978-3-031-10186-1
003 DE-He213
005 20240423130326.0
007 cr nn 008mamaa
008 220921s2022 sz | s |||| 0|eng d
020 _a9783031101861
_9978-3-031-10186-1
024 7 _a10.1007/978-3-031-10186-1
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aWang, Xiaofei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIntegrating Edge Intelligence and Blockchain
_h[electronic resource] :
_bWhat, Why, and How /
_cby Xiaofei Wang, Chao Qiu, Xiaoxu Ren, Zehui Xiong, Victor C. M. Leung, Dusit Niyato.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXII, 111 p. 24 illus., 23 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aWireless Networks,
_x2366-1445
505 0 _aIntroduction -- 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.
520 _aThis 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.
650 0 _aTelecommunication.
650 0 _aCooperating objects (Computer systems).
650 0 _aBlockchains (Databases).
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aCyber-Physical Systems.
650 2 4 _aBlockchain.
700 1 _aQiu, Chao.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aRen, Xiaoxu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aXiong, Zehui.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aLeung, Victor C. M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aNiyato, Dusit.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031101854
776 0 8 _iPrinted edition:
_z9783031101878
776 0 8 _iPrinted edition:
_z9783031101885
830 0 _aWireless Networks,
_x2366-1445
856 4 0 _uhttps://doi.org/10.1007/978-3-031-10186-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c187372
_d187372