This paper presents a proposal for a tendering-based incentive framework in order to encourage vehicle owners to join in announced tasks in the vehicular fog computing. The truthfulness of users is ensured by using the incentive mechanism that also assists a fog node server to choose suitable resources for the task. An illustrative language, which is a novel approach to guaranteeing fairness amongst vehicles, is designed based on heterogeneous vehicular resource types. The signcryption technique and a homomorphic concept are integrated in the proposed framework in order to preserve vehicles privacy. Moreover, a detailed performance analysis demonstrates that the communication and computational overheads of this privacy-preserving scheme are significantly more efficient than the available alternatives.

本文提出了一种基于招标的激励框架的建议，以鼓励车主加入已公布的车辆雾计算任务。通过使用激励机制还可以确保用户的真实性，该激励机制还可以帮助雾节点服务器选择适合任务的资源。基于异类车辆资源类型设计了一种说明性语言，这是一种确保车辆之间公平性的新颖方法。将签密技术和同构概念集成在建议的框架中，以保护车辆的隐私。此外，详细的性能分析表明，这种隐私保护方案的通信和计算开销比可用的替代方案明显更高。