Efficient Mobile Vehicle Data Sharing Scheme Based on Consortium Blockchain

Abstract

Efficient data sharing schemes are one of the key technologies in the Internet of Vehicles (IoV). However, the insufficient willingness of vehicle users to provide data makes the traditional blockchain-based IoV network have low throughput. The income of IoV providers decreases when the vehicle density increases on the road. In this paper, we investigated a mobile vehicle data sharing scheme based on the consortium blockchain. In detail, the consortium blockchain was used to limit the degree of decentralization and openness, and the optimal revenue strategy approach between vehicles and data-demand devices was obtained through the Stackelberg game. The load test library based on Node.js was used to simulate and compare the data transmission performance of the proposed consortium blockchain with traditional blockchain schemes. Simulation results show that the proposed scheme had higher buyer’s revenue, and the block transmission performance was significantly higher than that of traditional blockchain schemes.

Data Element Sharing in Convergence Media Ecology Based on Evolutionary Game

“…According to the different circulation of data and interests between subjects, its circulation mode can be divided into three types: opening, sharing and trading [15]. Data opening refers to the form of one-way data circulation in which the provider provides data free of charge and the demander obtains data free of charge without the participation of monetary media; data sharing refers to the form of two-way data circulation in which both supply and demand parties provide data to each other, roles can be changed, and there is no monetary medium involved; data trading refers to the form of one-way data circulation in which the provider provides data with compensation and the demander pays the acquisition fee, mainly using currency as the medium of exchange [16]. Data element circulation technology is mainly a technology to ensure the smooth circulation of data elements, such as data collection, data registration, data confirmation, data recommendation, data transmission, data storage, privacy protection, etc.…”