数据与计算发展前沿 ›› 2021, Vol. 3 ›› Issue (1): 34-47.

doi: 10.11871/jfdc.issn.2096-742X.2021.01.003

• 区块链技术与应用专刊 • 上一篇    下一篇

区块链在物联网中的应用态势分析

闾海荣1,*(),姜楠2(),许瑞坤1(),周容辰1()   

  1. 1.清华大学自动化系,信息国家实验室生物信息学研究部,北京 100084
    2.北京爱医声科技有限公司,北京 100083
  • 收稿日期:2020-08-15 出版日期:2021-02-20 发布日期:2021-02-07
  • 通讯作者: 闾海荣
  • 作者简介:闾海荣,清华大学自动化系,博士,清华大学信息国家实验室生物信息学研究部,主任助理,信息处理研究所,副研究员。主要研究方向为人工智能和大数据技术在医疗健康领域的应用,如医疗影像分析、个人生命大数据等。本文中负责总体统稿、区块链加物联网在各应用场景领域中的研究。
    LYU Hairong, Ph.D., is an associate research fellow at BNRist bioinformatics division, Department of Automation, Tsinghua University. His main research interests follow: application of artificial intelligence and big data technology in healthcare, such as medical image analysis, human-computer interaction, personal health big data, etc.In this paper, he is responsible for the final compilation and edition of the manuscript; and the research on the application of blockchain and Internet of Things in various domains such as finance, traditional industry and insurance.E-mail: lvhairong@tsinghua.edu.cn|姜楠,德国亚琛工大,硕士,北京爱医声科技有限公司研究员。主要研究方向为物联网、区块链及分布式数据存储管理等。本文中负责物联网与区块链的介绍,以及区块链加物联网的研究前沿等章节的撰写。
    JIANG Nan, Master of RWTH Aachen., is a researcher in AIHealthX Co., Ltd. His main research interests follow: Internet of Things, blockchain and distributed data storage and management, etc.In this paper, he wrote the part of the introduction of Internet of Things and blockchain. He contributed to the content of research frontiers of blockchain plus Internet of Things as well.E-mail: jiangnan@aihealthx.com|许瑞坤,清华大学自动化系,硕士研究生。主要研究方向为区块链和联邦学习在医疗领域中的应用。本文中负责调研和收集分析引用的文献以及CiteSpace 工具的使用。
    XU Ruikun is a master student of Department of Automation, Tsinghua University, majoring in pattern recognition and intelligent system. His main research interests include the application of blockchain, federated learning and privacy preserving machine learning for healthcare informatics.In this paper, he is responsible for surveying and collecting the research paper materials for analysis, and using the CiteSpace tool for visualization.E-mail: xrk18@mails.tsinghua.edu.cn|周容辰,清华大学自动化系,硕士研究生。研究方向为区块链在医疗健康大数据领域的应用等。在本文中承担区块链共识机制部分。
    ZHOU Rongchen is a master student of Department of Automation, Tsinghua University. His research interests include blockchain in health medical big data.His contribution to the paper is the part of consensus algorithm of blockchain.E-mail: zhourc18@mails.tsinghua.edu.cn
  • 基金资助:
    湖南省重点研发计划(2019WK2072)

Hotspots and Trend Analysis of Blockchain Applications in Internet of Things

LYU Hairong1,*(),JIANG Nan2(),XU Ruikun1(),ZHOU Rongchen1()   

  1. 1. State Key Laboratory of Information bioinformatics division, Department of Automation Tsinghua University,Beijing 100084, China
    2. AIHealthX Co., Ltd, Beijing 100083, China
  • Received:2020-08-15 Online:2021-02-20 Published:2021-02-07
  • Contact: LYU Hairong

RichHTML

46

PDF

228

摘要：

[目的]物联网是物体之间共享资源和交流信息的平台,其上的数据价值不断被挖掘显现,而区块链作为一种新型的数据存储管理模式,在体系去中心化、数据溯源和防篡改等方面拥有良好的效果。近来,不少研究都探索了区块链在物联网中的应用。[方法]利用文献计量工具CiteSpace,采用关键词共现分析等方法分析了关键词包含区块链和物联网的 75 篇论文,通过对国内外研究热点和前沿的总结,归纳区块链在物联网中的应用态势。[结果]研究者探索了区块链与物联网在传统产业优化、金融科技和保险科技等领域的应用模式;通过区块链技术加强物联网数据隐私和安全;讨论诸如边缘计算、大数据、人工智能和 5G 通信等新技术带来的机遇和挑战。[结论]区块链与物联网结合已初见成效并展现其应用价值,但其进一步的拓展仍需依托与新技术的融合。

关键词: 区块链, 物联网, 文献计量, 热点, 前沿

Abstract:

[Objective] Internet of Things is the platform where end systems share resources and exchange information, while the value of data has been continuously revealed. As a neo-database management mode, blockchain plays a satisfactory role in the fields of decentralization, data traceability, and tamper prevention. Recently, a cornucopia of researches has explored the application of blockchain in Internet of Things. [Methods] By using the bibliometrics tool CiteSpace, this paper analyzes 75 papers with keywords including blockchain and Internet of Things through keyword co-occurrence analysis and concludes the situation of blockchain application in Internet of Things by summarizing research hotspots and trend at home and abroad. [Results] The researchers explore the application schema in the scenarios of conventional industry optimization, financial technology, and insurance technology, enhance data privacy and security of Internet of Things through blockchain, and discuss the opportunities and challenges brought by emerging technologies such as edge computing, big data, artificial intelligence and 5G. [Conclusions] Blockchain plus Internet of Things have achieved initial success and demonstrated its worth in applications. However, its further expansion still needs to rely on the integration with novel technologies.

Key words: blockchain, Internet of Things, bibliometrics, hotspots, trend