Blockchain Meets Edge Computing: Stackelberg Game and Double Auction based Task Offloading for Mobile Blockchain

Shaoyong Guo, Yao Dai, Song Guo, Xuesong Qiu, Feng Qi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

47 Citations (Scopus)


Blockchain technology is developing rapidly and has been applied in various aspects, among which there are broad prospects in Internet of Things (IoT). However, IoT mobile devices are restricted in communication and computation due to mobility and portability, so that they can't afford the high computing cost for blockchain mining process. To solve it, the free resources displayed on non-mining-devices and edge cloud are selected to construct collaborative mining network(CMN) to execute mining tasks for mobile blockchain. Miners can offload their mining tasks to non-mining-devices within a CMN or the edge cloud when there are insufficient resources. Considering competition for resource of non-mining-devices, resource allocation problem in a CMN is formulated as a double auction game, among which Bayes-Nash Equilibrium (BNE) is analyzed to figure out the optimal auction price. When offloading to edge cloud, Stackelberg game is adopted to model interactions between edge cloud operator and different CMNs to obtain the optimal resource price and devices' resource demands. The mechanism realizes improving the mining utility in mining networks while ensuring the maximum profit of edge cloud operator. Finally, profits of mining networks are compared with an existing mode which only considers offloading to edge cloud. Under the proposed mechanism, mining networks obtain 6.86% more profits on average.

Original languageEnglish
Article number9042359
Pages (from-to)5549-5561
Number of pages13
JournalIEEE Transactions on Vehicular Technology
Issue number5
Publication statusPublished - May 2020


  • Edge computing
  • IoT
  • blockchain
  • resource management
  • task offloading

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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