Vehicular ad hoc networks have enabled applications for real-time data sharing such as safety and infotainment services in smart cities. Notably, with the widespread adoption of the internet of things (IoT), the back-end networks are not designed to carry large amounts of data as it leads up to network congestion and consumes a significant amount of energy. Moreover, the IoT sensor data requires real-time transmission for efficient decision making, especially for safety-related warning messages. Often a greedy approach is usually adopted to select the next-hop vehicle near the destination node; however, without considering the direction, the performance degrades. In this paper, we propose a vehicle-based real-time data transfer framework using a path-aware dissemination scheme. The messages are forwarded to vehicles on the road segment leading up to the destination. We compare the proposed scheme to traditional methods like flooding, random vehicle selection, and distance-based techniques. The results demonstrate that the proposed path-based technique increases the success rate with a minimum number of intermediate hops.

车载自组织网络已启用了用于实时数据共享的应用程序，例如智能城市中的安全和信息娱乐服务。值得注意的是，随着物联网（IoT）的广泛采用，后端网络无法承载大量数据，因为它导致网络拥塞并消耗大量能源。此外，IoT传感器数据需要实时传输以进行有效的决策，尤其是针对与安全相关的警告消息。通常采用贪婪的方法来选择目标节点附近的下一跳车辆；但是，如果不考虑方向，性能就会下降。在本文中，我们提出了一种基于路径感知的传播方案的基于车辆的实时数据传输框架。消息被转发到通往目的地的路段上的车辆。我们将建议的方案与传统方法（如洪水，随机车辆选择和基于距离的技术）进行比较。结果表明，所提出的基于路径的技术以最少的中间跳数提高了成功率。