Toufga Soufian, Abdellatif Slim, Assouane Hamza Tarik, Owezarski Philippe, Villemur Thierry
LAAS-CNRS, Université de Toulouse, CNRS, 31400 Toulouse, France.
LAAS-CNRS, Université de Toulouse, CNRS, INSA, 31400 Toulouse, France.
Sensors (Basel). 2020 Mar 18;20(6):1701. doi: 10.3390/s20061701.
The emerging SDVN (Software Defined Vehicular Network) paradigm promises to bring flexibility and efficient resource utilization to vehicular networks, enabling the emergence of novel Intelligent Transportation Services. However, as it was initially designed with wired network in mind, applying the SDN paradigm to a vehicular context faces new challenges related to the peculiar characteristics of this network (high node mobility and node density, and the presence of wireless links). In this paper, we focus on one of the critical architectural elements of SDVN, namely, the SDN Controller Placement, and promote the use of dynamic placement methods that take into account the dynamicity of vehicular networks' topology. We also describe the different approaches towards a dynamic controller placement and also propose an ILP (Integer Linear Programming) based dynamic placement method that adaptively readjusts the number and placement of controllers according to road traffic fluctuations. The proposed method is evaluated using a realistic traffic trace from Luxembourg City. Simulation results show that our approach outperforms the static approach as proposed in the literature.
新兴的软件定义车载网络(SDVN)范式有望为车载网络带来灵活性和高效的资源利用,从而催生新型智能交通服务。然而,由于它最初是基于有线网络设计的,将SDN范式应用于车载环境面临着与该网络特殊特性(高节点移动性和节点密度以及无线链路的存在)相关的新挑战。在本文中,我们聚焦于SDVN的关键架构元素之一,即SDN控制器放置,并提倡使用考虑车载网络拓扑动态性的动态放置方法。我们还描述了动态控制器放置的不同方法,并提出了一种基于整数线性规划(ILP)的动态放置方法,该方法可根据道路交通波动自适应地重新调整控制器的数量和放置位置。使用来自卢森堡市的真实交通轨迹对所提出的方法进行了评估。仿真结果表明,我们的方法优于文献中提出的静态方法。