UAV‐Assisted Vehicle Edge Computing Resource Allocation Under Blockchain Application

The synergy of Unmanned Aerial Vehicles (UAVs) and edge computing provides a dynamic platform for real‐time data processing, enabling various applications such as autonomous driving and intelligent traffic management. In order to provide users with higher and satisfactory service quality, it is necessary to allocate edge computing resources between edge computing stations and UAVs. However, because the vehicle data collected by many onboard sensors contains sensitive and personal information, and there is a lack of financial incentives, vehicles are reluctant to upload data to edge servers. Unlike sharing data for free, encrypted data transactions mitigate security and privacy concerns while providing an incentive for car owners to share data. Edge servers pay a price in data transactions, and reputation management is an effective way to help them trade with reliable and available vehicles. This paper proposes a resource pricing and trading scheme based on Stackelberg dynamic game and adopts a reputation management scheme based on multi‐armed bandit (MAB) so that edge servers can choose vehicles with high reputation for data trading to ensure the credibility and reliability of data. An optimization problem is presented in this paper to maximize vehicle revenue in data transactions under the constraints of delay, energy consumption, and security level. Experiments show that the proposed scheme is effective in vehicle reputation management, data transaction selection, and resource allocation.