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作者:

Li, Qing (Li, Qing.) | Sun, Yanhua (Sun, Yanhua.) | Tian, Tian (Tian, Tian.) | Yang, Ruizhe (Yang, Ruizhe.) | Meng, Li (Meng, Li.) | Zhang, Yanhua (Zhang, Yanhua.) (学者:张延华) | Yu, F. Richard (Yu, F. Richard.)

收录:

CPCI-S

摘要:

Edge caching and computation offloading are potential technologies that can greatly reduce the pressure on the backhaul link and improve user response speed. However, a large amount of data exchange and resource transactions between users have security problems, and it is difficult to encourage users to participate. In this article, we propose a blockchain-based consensus protocol, as well as detailed formula steps and theoretical analysis in a mobile edge network D2D environment, where the blockchain acts as a trusted third party to maintain transactions between users. In order to improve the throughput of the blockchain, we jointly consider the trust feature of the blockchain nodes and controllers and the computing resource of the blockchain system, and by defining the state space, the problem is transformed into a Markov decision process. However, the traditional method is difficult to solve the joint problem, so we propose a method based on hierarchical reinforcement learning. The simulation result shows the effectiveness of the proposed scheme.

关键词:

Blockchain Computing Offload D2D Deep Reinforcement Learning

作者机构:

  • [ 1 ] [Li, Qing]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 2 ] [Sun, Yanhua]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 3 ] [Tian, Tian]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 4 ] [Yang, Ruizhe]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 5 ] [Meng, Li]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 6 ] [Zhang, Yanhua]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 7 ] [Yu, F. Richard]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

通讯作者信息:

  • [Sun, Yanhua]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

电子邮件地址:

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来源 :

2020 12TH INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN 2020)

ISSN: 2159-3566

年份: 2020

页码: 202-206

语种: 英文

被引次数:

WoS核心集被引频次: 3

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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