Internet of Vehicles (IoV) is a cornerstone building block of smart cities to provide better traffic safety and mobile infotainment. Recently, improved efficiency in WLAN-based dense scenarios has become widespread through Wi-Fi 6, a license-free spectrum technology that can complement the cellular-based infrastructure for IoV. In addition, Named Data Networking (NDN) is a promising Internet architecture to accomplish content distribution in dynamic IoV scenarios. However, NDN deployments, i.e., native (clean-slate) and overlay (running on top of IP stack), require further investigation of their performance over wireless networks, particularly regarding the IoV scenario. This paper performs a comparative simulation-based study of these NDN deployments over Wi-Fi 6 for IoV using real vehicular traces. To the best of our knowledge, this is the first effort that extends ndnSIM 2 with an overlay-based NDN implementation and that compares it with the native approach. Results show that the overlay-based NDN consistently outperforms the native one, reaching around 99% of requests satisfied, against only 42.35% in the best case of native deployment.
翻译:汽车互联网(IoV)是智能城市的基石,以提供更好的交通安全和移动信息。最近,通过Wi-Fi 6,一个无许可证的光谱技术,可以补充IoV的手机基础设施。 此外,命名数据网络(NDN)是一个有希望的互联网架构,可以在动态的IoV情景中完成内容传播。然而,NDN部署,即本地(清洁的)和重叠(IP堆叠上方的),需要进一步调查无线网络的性能,特别是IoV情景。本文利用真实的车辆痕迹,对这些NDN在IoV的Wi-Fi 6上部署的无许可证频谱技术进行了比较性模拟研究。据我们所知,这是扩大nSIM 2的首项努力,以基于超载的NDN实施方式与本地方式相比。结果显示,基于超载的NDN持续超越了本地网络的性能,仅满足了本地99%的请求,仅达到本地部署的93%。