Internet of Vehicles Resource Scheduling Based on Blockchain and Game Theory

Jing Chen, Tong Li and Lianhui Li

Mathematical Problems in Engineering, 2022, vol. 2022, 1-13

Abstract: With the popularity of on-board intelligent devices, the number of vehicle computing intensive applications is also increasing rapidly. Due to the high mobility and limited computing power of the vehicle, and the extensive and changing demand for computing resources of the vehicle terminal, the vehicle often has insufficient computing power. In order to meet the needs of intensive computing applications of vehicle terminals, the computing tasks of vehicles can be unloaded to edge cloud servers (ECSs) with rich resources and high performance to enhance the computing power of vehicle terminals. However, the resource charge of ECS is high, and the scheme needs to consider such issues as ECS signal coverage, long task transmission delay caused by network congestion, and insufficient computing capacity of ECS. Therefore, this study considers unloading the computing tasks of vehicles with insufficient computing resources to nearby vehicles with redundant computing capacity and proposes a resource scheduling method for the Internet of vehicles based on blockchain and game theory. The scheduling of computing resources can reduce the computing workload of buyers’ vehicles and improve the operation efficiency of the whole vehicle network.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6891618

DOI: 10.1155/2022/6891618

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