Intelligent Transportation Systems may highly benefit from the development of communication networks integrating vehicles. In this work, we study the deployment of roadside units for delivering streaming for connected vehicles. We consider that the proper dissemination of streaming requires a given share of vehicles periodically meeting the communication infrastructure located at the roadside in time intervals smaller than a given threshold. By considering the share of vehicles and time threshold, we propose the Gamma Deployment strategy for defining the location and number of roadside units required for providing the specific coverage. After that, we extend the proposed strategy to also consider the data transfer rate that vehicles receive data from roadside units, and also the data consumption rate of streaming inside vehicles, and so, deriving the Gamma-Reload Deployment strategy. We compare the proposed strategies to the intuitive strategy of locating roadside units at the densest locations of the road network, and the results reveal that the proposed strategies may achieve significant economy on the costs for setting up the communication network, while providing similar QoS.

智能交通系统可以从集成车辆的通信网络的发展中受益匪浅。在这项工作中，我们研究路边单元的部署，以便为联网车辆提供流媒体。我们认为，正确分配流媒体需要一定数量的车辆，这些车辆定期以小于给定阈值的时间间隔满足路边的通信基础设施。通过考虑车辆份额和时间阈值，我们提出了Gamma部署策略，以定义提供特定覆盖范围所需的路边单元的位置和数量。之后，我们将提出的策略扩展到考虑车辆从路边单元接收数据的数据传输速率，以及车辆内部流式传输的数据消耗率，等等，推导Gamma重新加载部署策略。我们将拟议的策略与将路边单元定位在路网最密集的位置的直观策略进行了比较，结果表明，所提出的策略在提供类似QoS的同时，可以在建立通信网络的成本上实现显着的经济性。