Performance Evaluation Of Internet Of Vehicles Crowdsourcing Based On Blockchain

With the rapid development of Internet of Vehicles technology,mobile communication technology,and artificial intelligence,smart cities and intelligent transportation have become new development trends.As a vehicle-to-vehicle and vehicle-to-road information interaction platform,the Internet of Vehicles crowdsourcing is the foundation for information interaction and sharing.However,traditional Internet of Vehicles crowdsourcing has trust issues and latency issues,which can lead to an inferior quality of crowdsourcing service.Therefore,solving the trust problem and reducing network latency in the Internet of Vehicles crowdsourcing is the key to improving user satisfaction and crowdsourcing service quality.This study uses blockchain technology to solve the problem of distrust among users in the Internet of Vehicles crowdsourcing.However,ensuring mutual trust among users through blockchain alone cannot effectively improve the quality of crowdsourcing service,which means that legally authenticated the Internet of Vehicles crowdsourcing users does not represent good behavior.Therefore,this study designs a two-way auction pricing algorithm in a blockchain based parking assistance alliance with user preference(PAA)to ensure the authenticity of the user’s own bid or ask.A trusted distributed crowdsourcing framework based on the Identifying Malicious Users trust model(IMU),which identifies malicious behaviors of users and isolates them from transactions,while designing reasonable task allocation and incentive mechanisms to improve user satisfaction.Secondly,this study proposes a Multi Channel Blockchain for the Internet of Vehicles Crowdsourcing(MCB),and designs an efficient service process and prioritized processing of delay sensitive messages to address the high latency challenges of low latency applications in the Internet of Vehicles.Firstly,PAA introduces user preferences and parking space attributes,and defines matching priorities based on the supply and demand relationship between parking space requesters and parking spaces.This scheme improves the success rate of task allocation while ensuring maximum user satisfaction.At the same time,the proposed two-way auction pricing algorithm achieves authenticity,individual rationality,and budget balance;Secondly,building a trusted distributed crowdsourcing framework based on IMU to solve the problem of malicious users participating in the Internet of Vehicles crowdsourcing transactions.Quickly identify four different malicious behavior users through IMU based on reputation values,and design corresponding service processes for different crowdsourcing transactions.Finally,MCB reduces the average transaction confirmation time by dividing different channels according to different transaction types.Meantime,transaction messages are classified as delay-sensitive or non-delay-sensitive,and queuing theory is used to model and evaluate them.