Context-Aware Clustering for SDN Enabled Network
Context-Aware Clustering for SDN Enabled Network
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DOI：
10.1109/icnp49622.2020.9259403
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发表时间：
2020-10
期刊：
影响因子：
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通讯作者：
Ran Duo;Celimuge Wu;T. Yoshinaga;Yusheng Ji
中科院分区：
文献类型：
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作者：
Ran Duo;Celimuge Wu;T. Yoshinaga;Yusheng Ji
如今，第五代技术（5G）技术被提升为支持大规模的数据传输和低延迟通信，从而实现了多种车辆应用。已经进行了一些研究，讨论了使用车辆聚类来节省稀缺资源的使用，并防止混合细胞/IEEE 802.11p车辆环境中的网络拥塞。但是，不同类型的应用程序可能具有不同级别的服务质量（QoS）要求，因此在车辆的聚类中应考虑此问题。我们提出了一种新型的车辆聚类方案，该方案利用软件定义网络（SDN）技术的全球视图和可编程优势来在车辆环境中进行有效的聚类。根据QoS要求，提出的方案首先将现有应用程序分类为三种不同类型，即延迟敏感类型，流量密集型类型和计算密集型类型。然后，该方案基于此分类形成三个不同的簇，以满足每种类型的QoS要求。我们使用计算机模拟来显示拟议方案比常规方法的优势。
Nowadays, fifth-generation (5G) technology is promoted to support massive data transmissions and low-latency communications, which enables diverse vehicular applications. There have been some studies discussing the use of vehicle clustering to save scarce spectrum resources, and prevent network congestions in hybrid cellular/IEEE 802.11p vehicular environments. However, different types of applications could have different levels of quality-of-service (QoS) requirements, and thus this issue should be considered in the clustering of vehicles. We propose a novel vehicle clustering scheme that utilizes the global view and programmable advantage of software defined networking (SDN) technology to conduct an efficient clustering in vehicular environments. The proposed scheme first classifies the existing applications to three different types, the delay-sensitive type, traffic-intensive type, and computation-intensive type, according to the QoS requirements. Then the scheme forms three different clusters based on this classification to satisfy the QoS requirement for each type. We use computer simulations to show the advantage of the proposed scheme over the conventional approach.