基于协助车组的车联网多信道协助下载方法

针对目前车联网中单信道协助下载方法的吞吐量低和通信域叠加的问题，提出一种基于对向协助车车组的车联网多信道协助下载方法McDvg。此方法利用对向协助车车组相遇概率大、通信多次重传以及延长数据传输时间的特点在局部范围内形成车组，并设计选车策略选择一组合适的对向车辆携带用户所需的数据为目标车辆提供协助下载；利用对向协助车组可有效延长目标车的协助下载时间，并采用多信道的策略解决单信道情况下的通信冲突问题。最后本文通过相应的仿真实验对该方案进行验证，仿真结果表明该方法可以在高速移动环境中显著提高下载吞吐量，降低盲区的通信时延，从而为当前的车联网提供有效的服务支撑。

Multi-channel Cooperative Downloading Method for Vehicle NetworkingBased on Cooperative Vehicle Group

Aiming at the problems of low throughput and superimposed communication domain of the single-channel cooperative downloading method in the current internet of vehicles, a multi-channel cooperative downloading strategy of vehicle networking based on opposite cooperative vehicle group (McDvg) is proposed. Utilizing the characteristics of large meeting probability, multiple retransmission of communication and extension of data transmission time of opposite cooperative vehicle group to form a vehicle group in a local area, we design a car selection strategy to select a suitable oncoming vehicle to carry the data required by the user to provide cooperative download for target vehicles. The method utilizes the opposite cooperative vehicle group to effectively extend the cooperative download time of the target vehicle, and adopts a multi-channel strategy to solve the communication conflict problem in the case of a single channel. At last, the scheme is verified by corresponding simulation experiments. The simulation results show that this method can significantly improve the download throughput and reduce the communication delay in the blind zone, so as to provide effective service support for the current internet of vehicles.