Journal of Computer Applications ›› 2023, Vol. 43 ›› Issue (10): 3008-3016.DOI: 10.11772/j.issn.1001-9081.2022091466

• Blockchain technology • Previous Articles     Next Articles

Survey on combination of computation offloading and blockchain in internet of things

Rui MEN1,2, Shujia FAN3, Axida SHAN1, Shaoyu DU1, Xiumei FAN1()   

  1. 1.Faculty of Automation and Information Engineering,Xi’an University of Technology,Xi’an Shaanxi 710048,China
    2.School of Mathematics and Information Engineering,Longdong University,Qingyang Gansu 745000,China
    3.Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China
  • Received:2022-10-08 Revised:2023-02-07 Accepted:2023-02-11 Online:2023-04-19 Published:2023-10-10
  • Contact: Xiumei FAN
  • About author:MEN Rui, born in 1987, Ph. D. candidate, lecturer. Her research interests include internet of vehicles, edge computing.
    FAN Shujia, born in 1994, Ph. D. candidate. Her research interests include big data, blockchain, application of educational metaverse.
    Axida, born in 1980, Ph. D., associate professor. His research interests include collaborative communication technology, incentive mechanism.
    DU Shaoyu, born in 1999, M. S. candidate. His research interests include internet of vehicles, blockchain.
  • Supported by:
    Foreign Expert Project of Ministry of Science and Technology(G2022041009L);Key Research and Development Program of Shaanxi Province(2021GY-072);Scientific Research Innovation Project of Higher Education of Department of Education of Gansu Province(2020A-117);Inner Mongolia Autonomous Region Natural Science Foundation(2022MS06007);Scientific Research Project of Higher Education of Department of Education of Inner Mongolia Autonomous Region(NJZY22035)

物联网中结合计算卸载和区块链的综述

门瑞1,2, 樊书嘉3, 阿喜达1, 杜邵昱1, 樊秀梅1()   

  1. 1.西安理工大学 自动化与信息工程学院, 西安 710048
    2.陇东学院 数学与信息工程学院, 甘肃 庆阳 745000
    3.清华大学 计算机科学与技术系, 北京 100084
  • 通讯作者: 樊秀梅
  • 作者简介:门瑞(1987—),女,甘肃宁县人,讲师,博士研究生,主要研究方向:车联网、边缘计算
    樊书嘉(1994—),女,北京人,博士研究生,主要研究方向:大数据、区块链、教育元宇宙应用
    阿喜达(1980—),男(蒙古族),内蒙古呼伦贝尔人,副教授,博士,主要研究方向:协作通信技术、激励机制
    杜邵昱(1999—),男,陕西蓝田人,硕士研究生,主要研究方向:车联网、区块链;
  • 基金资助:
    科技部外国专家项目(G2022041009L);陕西省重点研发计划项目(2021GY?072);甘肃省教育厅高校科研创新项目(2020A?117);内蒙古自治区自然科学基金资助项目(2022MS06007);内蒙古自治区教育厅高校科研项目(NJZY22035)

Abstract:

With the recent development of mobile communication technology and the popularization of smart devices, the computation-intensive tasks of the terminal devices can be offloaded to edge servers to solve the problem of insufficient resources. However, the distributed nature of computation offloading technology exposes terminal devices and edge servers to security risks. And, blockchain technology can provide a safe environment transaction for the computation offloading system. The combination of the above two technologies can solve the insufficient resource and the security problems in internet of things. Therefore, the research results of applications combining computation offloading with blockchain technologies in internet of things were surveyed. Firstly, the application scenarios and system functions in the combination of computation offloading and blockchain technologies were analyzed. Then, the main problems solved by blockchain technology and the key techniques used in this technology were summarized in the computation offloading system. The formulation methods, optimization objectives and optimization algorithms of computation offloading strategies in the blockchain system were classified. Finally, the problems in the combination were provided, and the future directions of development in this area were prospected.

Key words: internet of things, computation offloading, resource management, offloading decision, blockchain, consensus algorithm

摘要:

随着移动通信技术的快速发展和智能终端的普及,将终端设备的计算密集型任务卸载至边缘服务器能够解决终端设备算力不足的问题。然而,计算卸载技术分布式的属性使终端设备和边缘服务器面临较大的安全隐患;同时,区块链技术能为计算卸载系统提供安全的资源交易环境。以上两个技术的结合可以解决物联网中的资源不足和安全问题,因此对物联网中计算卸载和区块链技术结合应用的研究成果进行综述。首先,分析了计算卸载技术和区块链技术结合的应用场景和系统功能;其次,归纳了区块链技术在计算卸载系统中解决的主要问题和使用的关键技术,并分类总结了区块链系统中的计算卸载策略的制定方式、优化目标及优化算法;最后,提出了二者结合使用中存在的问题,并展望了未来的发展方向。

关键词: 物联网, 计算卸载, 资源管理, 卸载决策, 区块链, 共识算法

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