Zhou Qinbin, Zhao Taotao, Chen Xiaomin, Zhong Yuesheng, Luo Heng
School of Information Science and Technology, Nantong University, Nantong 226019, China.
BMW Group, 80788 Munich, Germany.
Entropy (Basel). 2022 Jan 20;24(2):157. doi: 10.3390/e24020157.
Driven by the emerging mission-critical and data-intensive applications in industrial intelligent manufacturing, the software-defined network (SDN) based fiber-wireless access network (FiWi) is attracting considerable attention thanks to its capability of central control and large bandwidth. However, the heterogeneity of the network leads to new challenges, since the packet loss can be caused either by the poor channel quality of wireless links or network component failures. A novel and adaptive mechanism combining sparse random linear network coding with parallel transmission (SNC-PT) is proposed to achieve the fault-tolerance against high packet loss rate and any network element malfunction. We illustrate the benefits of using the SNC-PT mechanism to improve fault tolerance by characterizing the network performance with respect to the completion time and goodput along with its relationship to channel quality and node failures. We show that significant performance gains can be obtained in comparison with conventional uncoded transmission based on transmission control protocol (TCP). The simulation results show that the SNC-PT mechanism is fault-tolerant, while it can significantly shorten the data transmission completion time to at least 12% of the baseline and increase the goodput by about 10% compared to other coding schemes such as random linear network coding.
在工业智能制造中新兴的关键任务和数据密集型应用的推动下，基于软件定义网络（SDN）的光纤无线接入网络（FiWi）因其集中控制能力和大带宽而备受关注。然而，网络的异构性带来了新的挑战，因为丢包可能是由无线链路的信道质量差或网络组件故障引起的。提出了一种将稀疏随机线性网络编码与并行传输相结合的新型自适应机制（SNC-PT），以实现针对高丢包率和任何网络元素故障的容错能力。我们通过表征网络在完成时间和吞吐量方面的性能以及它与信道质量和节点故障的关系，来说明使用SNC-PT机制提高容错能力的好处。我们表明，与基于传输控制协议（TCP）的传统未编码传输相比，可以获得显著的性能提升。仿真结果表明，SNC-PT机制具有容错能力，与其他编码方案（如随机线性网络编码）相比，它可以将数据传输完成时间显著缩短至基线的至少12%，并将吞吐量提高约10%。
