CR-SDVN: A Cognitive Routing Protocol for Software-Defined Vehicular Networks

CR-SDVN: A Cognitive Routing Protocol for Software-Defined Vehicular Networks
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DOI:
10.1109/jsen.2017.2788014
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发表时间:
2018-02
影响因子:
4.3
通讯作者:
Huma Ghafoor;Insoo Koo
Huma Ghafoor;Insoo Koo
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Huma Ghafoor;Insoo Koo

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由于认知车辆网络的高度动态性,几个零星的链接会导致网络中的长延迟。因此,选择稳定的路由是提高整体网络稳定性的关键设计因素之一,从而减少端到端延迟。软件定义网络(SDN)是一种提高网络智能的新方法。为此,我们提出了一种新的基于SDN的认知车辆网络的路由协议,找到一个稳定的源和目的地之间的路由。由于这是一个认知路由协议,因此频谱感知是该算法的主要任务,以提高网络的稳定性,保持主用户活动的安全。我们应用一个信念传播算法进行信道选择。这是一种基于SDN的车辆通信方案,其中两个节点只有在它们对公共空闲信道具有共识时才能通信。该协议有两个阶段:注册阶段和路由预测阶段。SDN主控制器(MC)负责网络的全局视图,而多个本地控制器(LC)负责网络的局部全局视图。这种将控制器分层为两种类型(MC和LC)的方法在端到端延迟、高交付率和低开销方面提高了网络性能。我们证明了这一点,在我们的模拟结果,我们提出的方案与现有的两个计划(一个,另一个没有,SDN)进行比较。
Due to the highly dynamic nature of cognitive vehicular networks, several sporadic links induce a long delay in the network. The selection of a stable route is therefore one of the key design factors to improve overall network stability, thereby reducing the end-to-end delay. Software-defined networking (SDN) is a novel approach that improves network intelligence. To this end, we propose a novel SDN-based routing protocol for cognitive vehicular networks that finds a stable route between source and destination. As this is a cognitive routing protocol, spectrum sensing is therefore the primary task of this algorithm to improve network stability by keeping primary user activity safe. We apply a belief propagation algorithm for channel selection. This is an SDN-based vehicular communications scheme where two nodes can only communicate when they have consensus about a common idle channel. The protocol has two phases: the registering phase and the route prediction phase. The SDN main controller (MC) is responsible for a global view of the network, whereas several local controllers (LCs) are responsible for localized global views of the network. This layering of controllers into two kinds (MC and LCs) improves the network performance in terms of end-to-end delay, high delivery ratio, and low overhead. We prove this in our simulation results by comparing our proposed scheme with two existing schemes (one with, and another without, SDN).