• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2021, Vol. 42 ›› Issue (2): 116-125.doi: 10.12204/j.issn.1000-7229.2021.02.014

Previous Articles     Next Articles

Consensus Edge Computing and Its Applications in Energy Internet

WANG Tonghe1, HUA Haochen2, CAO Junwei3   

  1. 1. Department of Automation, Tsinghua University, Beijing 100084, China
    2. College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
    3. Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
  • Received:2020-05-25 Online:2021-02-01 Published:2021-02-09
  • Contact: CAO Junwei
  • Supported by:
    National Key Research and Development Program of China(2017YFE0132100);Tsinghua-Toyota Research Fund(PR11);Fundamental Research Funds for the Central Universities of China under Grant(No.B200201071)(B200201071);Beijing National Research Center for Information Science and Technology Program(2017YFEBNR2020TD010090132100)


Edge computing and consensus are two important research topics in the field of distributed computing. Edge computing delegates some resources to the edge near terminal devices to improve the efficiency and quality of computing, while consensus provides security for distributed systems by achieving the consistency among the states of distributed individuals. After a brief review of related literature, this paper summarizes and analyzes the reciprocity between edge computing and consensus: the edge computing architecture provides innovation for the theoretical model of consensus study, and consensus provides desirable security for edge computing systems. In this paper, edge computing and consensus algorithm are combined organically, and the concept of "consensus edge computing" is established. The application of this combination is prospectively analyzed under the background of energy internet, and then possible development directions are enumerated.

Key words: edge computing, consensus, energy internet, internet of things, distributed algorithms, blockchain

CLC Number: