The rapid development of the transportation industry has brought about the demand for massive data transmission. In order to make use of a large number of heterogeneous network resources in vehicular network, the research of applying network coding to multipath transmission has become a hot topic. Network coding can better solve the problems of packet reordering and low aggregation efficiency. The determination of coding scale is the key to network coding scheme. However, the existing research cannot adapt to the different characteristics of network resources in vehicular network, leading to larger decoding time cost and lower bandwidth aggregation efficiency. In this paper, we propose a network coding scheme called Delay Determined Group Size (DDGS), which could adaptively adjust the coding group according to the heterogeneous wireless networks state. The mathematical analysis and process design of the DDGS scheme are discussed in detail. Through a large number of simulations, we proved that the DDGS scheme is significantly superior to other coding group determination schemes in terms of decoding time cost and bandwidth aggregation efficiency.

中文翻译：

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DDGS：动态适应异构车辆网络的网络编码方案

运输业的快速发展带来了对海量数据传输的需求。背景技术为了在车辆网络中利用大量的异构网络资源，将网络编码应用于多径传输的研究已成为热门话题。网络编码可以更好地解决分组重排序和聚合效率低的问题。编码规模的确定是网络编码方案的关键。然而，现有的研究无法适应车载网络中网络资源的不同特征，导致解码时间成本较高，带宽聚合效率较低。在本文中，我们提出了一种称为延迟确定组大小（DDGS）的网络编码方案，可以根据异构无线网络的状态自适应地调整编码组。详细讨论了DDGS方案的数学分析和过程设计。通过大量的仿真，我们证明了DDGS方案在解码时间成本和带宽聚合效率方面明显优于其他编码组确定方案。