Connected vehicular cloud computing (CVCC) and the VANET can realize real-time monitoring and intelligent adjustment of traffic conditions. With the data collected by vehicles and the guidance provided by cloud computing platforms, the current traffic is facing new opportunities. CVCC is a mobile computing model, which extends the fixed nodes of traditional cloud infrastructure into mobile nodes composed of vehicles. Thus, compared to the traditional cloud infrastructures, CVCC requires a more complex mechanism to ensure the secure and efficient information transmission in both cloud platform-to-vehicle communication and vehicle-to-vehicle communication. Channel capacity, as the key parameter to measure the channel utilization, plays an important role in ensuring the reliability of CVCC service and the integrity of transmission data. In recent decades, the existing calculation methods could not solve the channel capacities problem in multi-participant VANETs. Different from the traditional calculation methods, we propose a novel calculation method in this article, which combines the core concepts of game theory and information theory, to calculate the channel capacities of multiple vehicular networks. The proposed method refreshes the concept of communication, which has potential applications in different services of CVCC.

中文翻译：

---

车联网云计算中安全高效的传输方法


车联网云计算（CVCC）和VANET可以实现交通状况的实时监控和智能调整。随着车辆收集的数据和云计算平台的引导，当前的交通面临着新的机遇。 CVCC是一种移动计算模型，将传统云基础设施的固定节点扩展为由车辆组成的移动节点。因此，与传统的云基础设施相比，CVCC需要更复杂的机制来确保云平台到车辆通信和车辆到车辆通信中安全高效的信息传输。信道容量作为衡量信道利用率的关键参数，对于保证CVCC服务的可靠性和传输数据的完整性具有重要作用。近几十年来，现有的计算方法无法解决多参与VANET中的信道容量问题。与传统的计算方法不同，本文提出了一种新颖的计算方法，结合博弈论和信息论的核心概念，来计算多个车载网络的通道容量。所提出的方法刷新了通信的概念，在CVCC的不同服务中具有潜在的应用。