Blockchian-based Crowdsourcing Incentive Mechanism For Vehicular Networks

With the improvement of computing and storage capabilities of onboard devices,vehicular networks have attracted widespread attention from academia and industry at home and abroad.Vehicular crowdsourcing supports information sharing and transactions between vehicles,which can effectively utilize vehicle resources.As crowdsourcing workers,vehicles face risks of resource consumption and privacy leakage during the execution of crowdsourcing tasks.Therefore,it is necessary to design a reasonable and effective incentive mechanism for vehicular crowdsourcing.This article proposes a blockchain-based crowdsourcing incentive mechanism for vehicular networks,with the specific contents as follows:First of all,to ensure the credibility of the vehicular crowdsourcing system,this article proposes a distributed vehicular crowdsourcing framework,which manages the vehicular crowdsourcing service through a consortium blockchain.In this framework,modular crowdsourcing processes and transaction processes are customized,including reputation updates,and worker matching scheme,and automatically run in smart contracts.Secondly,to ensure the reliability of crowdsourcing workers,this paper designs a worker selection scheme based on stable matching to select reliable workers for crowdsourcing tasks.The worker selection problem is formulated,and an incentive scheme is designed through a stable matching algorithm to encourage high-reputation workers with high-quality data to participate in crowdsourcing tasks.The simulation results show that this stable matching scheme increases the matching rate by 10% and significantly improves the overall utility compared to other schemes.Finally,to ensure the effectiveness of the crowdsourcing incentive scheme,this paper designs a crowdsourcing incentive mechanism for the vehicular crowdsourcing system based on game theory to obtain the optimal strategy of workers.The worker decision-making problem is studied,and its Nash equilibrium is studied using potential games;The game problem is described as a multi-agent Markov decision-making process,and a distributed algorithm based on A3 C is proposed to find the optimal solution.Experiments show that this incentive scheme effectively utilizes computing resources and improves the speed of the original training model.In summary,this article comprehensively considers the credibility of the vehicular crowdsourcing system,the reliability of crowdsourcing workers,and the effectiveness of crowdsourcing incentive schemes.The proposed blockchain-based crowdsourcing incentive mechanism has high practicality and application value in the field of crowdsourcing.