In this article, we consider a directional data forwarding problem to multiple destinations under distinct deadline constraints in vehicular ad hoc networks. We present a simple yet effective data forwarding algorithm based on only vehicle-to-vehicle communications in infrastructure-less and map-less environments. Our algorithm consists of two phases: relay selection and proliferation. We design a relay selection algorithm that encourages a shared ride for data delivery toward a certain common intermediate point from time to time for forwarding efficiency. It chooses a strong next relay candidate among nearby connected vehicles by considering their current position, velocity, and also the current progress toward the destination. In case that one of the progress lagging indicators becomes signaled, the number of vehicle relays increases under control depending on the degree of deterioration during a packet replication procedure called proliferation. Embedding two essential parts in designing a timely data forwarding scheme validates its accurate on-time data delivery performance and forwarding efficiency in network overhead based on real-world data-driven experiments.

中文翻译：

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通过车载自组织网络中的中继人口控制将数据及时定向传输到多个目的地

在本文中，我们考虑了在车载自组织网络中在不同期限约束下到多个目的地的定向数据转发问题。我们提出了一种简单而有效的数据转发算法，该算法仅基于无基础设施和无地图环境中的车对车通信。我们的算法由两个阶段组成：中继选择和扩散。我们设计了一种中继选择算法，该算法鼓励不时向某个公共中间点传输数据的共享乘车，以提高转发效率。它通过考虑附近联网车辆的当前位置、速度以及当前到达目的地的进度，在附近的联网车辆中选择一个强大的下一个中继候选者。如果进度滞后指标之一发出信号，车辆中继的数量在控制下增加，这取决于称为扩散的数据包复制过程中的恶化程度。在设计及时数据转发方案时嵌入两个基本部分，基于真实世界的数据驱动实验验证了其准确的准时数据交付性能和网络开销中的转发效率。