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A Distributed Game Theoretic Approach for Blockchain-based Offloading Strategy
16
Citations
17
References
2020
Year
Unknown Venue
EngineeringGame TheoryDistributed LedgerNon-cooperative Game TheorySensitive InformationInternet Of ThingsMechanism DesignMobile ComputingComputer ScienceEdge ArchitectureData SecurityEdge ComputingCloud ComputingBusinessMulti-access Edge ComputingBlockchain ProtocolMobile Edge ComputingBlockchain ScalabilityBlockchain MinersBlockchainBlockchain-based Offloading Strategy
Keeping patients' sensitive information secured and untampered in the e-Health system is of paramount importance. Emerging as a promising technology to build a secure and reliable distributed ledger, blockchain can protect data from being falsified, which has attracted much attention from both academia and industry. However, with limited computational resources, medical IoT devices do not have efficient ability to fulfill the functionalities as a full node in wireless blockchain network (WBN). Facing this dilemma, Mobile Edge Computing (MEC) brings us dawn and hope through offloading the high resource demanding blockchain functionalities at the IoT devices to the MEC. However, aiming to maximize the mining profit, most of existing offloading strategies have ignored the other needs of wireless devices, e.g., faster transaction writing. In this paper, according to different needs, blockchain nodes are firstly divided into two categories. One is blockchain users whose needs are faster transaction uploading, the other is blockchain miners whose goals are maximum revenue. Then, to maximize both the utilities of blockchain users and blockchain miners, a Stackelberg game is introduced to formulate the interaction between them. From the simulation results, this game is proved to converge to a unique optimal equilibrium.
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