A QoS guarantee mechanism based on multi- priority bionic competition model in vehicular edge etwork

Yao Zhang, Lanlan Rui, Hui Guo, Xue-song Qiu, Linwei
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Abstract

With the development of the Internet of Things, more and more devices can access the network through wireless access. And the wireless access of vehicles, which constitutes an edge network, can provide real-time road information and significant traffic state. Thus, it has gradually got the public attention. In order to offer the better quality of service (QoS) in the vehicular network, we propose a multi-priority bionic competition mechanism to implement service differentiation and resource allocation. Firstly, we deduce a context metric (CM) through fuzzy inference, which relates the urgency degree of a vehicle to its environment. Vehicle traffic is re-prioritized into four access categories (ACs) combined with the CM and transmission data types. Then, we propose the bionic competition model based on 802.11e EDCA protocol. This model considers the competition in the same level ACs and the competition among different level ACs, allocates different transmission rate and bandwidth for different ACs, which greatly improve the network throughput and bandwidth utilization. Finally, the simulation results show that our method improves the throughput, reduces the mean delay and packet loss rate.
基于多优先级仿生竞争模型的车辆边缘网络QoS保障机制
随着物联网的发展,越来越多的设备可以通过无线接入网络。车辆的无线接入构成了一个边缘网络,可以提供实时的道路信息和重要的交通状态。因此,它逐渐得到了公众的关注。为了在车载网络中提供更好的服务质量(QoS),我们提出了一种多优先级仿生竞争机制来实现服务差异化和资源分配。首先,我们通过模糊推理推导出一个上下文度量(CM),该度量将车辆的紧急程度与所处环境联系起来;结合CM和传输数据类型,车辆流量被重新划分为四个访问类别(ac)。然后,我们提出了基于802.11e EDCA协议的仿生竞争模型。该模型考虑了同级ac内的竞争和不同级别ac之间的竞争,为不同的ac分配不同的传输速率和带宽,极大地提高了网络吞吐量和带宽利用率。最后,仿真结果表明,该方法提高了吞吐量,降低了平均时延和丢包率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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