The growth of connected vehicles in smart cities increases the number of information being communicated on the Internet of Vehicle networks. This causes wireless channel congestion problems, which degrades the network performance and reliability due to the low throughput, high average delay and the high packets loss. Therefore, this paper proposes a non-cooperative game approach to control congestion in the vehicular ad-hoc network channel where the nodes behave as selfish players requesting high data transmission rates. Moreover, the satisfaction of the Nash equilibrium condition for the optimum data transmission rate for each vehicle, is proven. A utility function is introduced based on data transmission rates, the priority of vehicles and contention delay in order to obtain the optimal rates. The performance of the proposed approach has been evaluated and validated in comparison with three others approaches over two testing scenarios for highway and urban traffic. The results show that the network performance and efficiency have been improved by an overall average of 35%, 30% and 37.17% in terms of packets loss, channel busy time and number of collision messages, respectively, as compared with the state-of-the-art-strategies for the highway testing scenario. Similar performance is achieved for the urban testing scenario.

智慧城市中联网车辆的增长增加了在车辆互联网网络上传递的信息数量。由于低吞吐量，高平均延迟和高分组丢失，这会导致无线信道拥塞问题，从而降低网络性能和可靠性。因此，本文提出了一种非合作博弈方法来控制车辆自组织网络通道中的拥塞，其中节点表现为自私玩家，要求高数据传输率。此外，证明了纳什均衡条件对于每种车辆的最佳数据传输率都满足。根据数据传输速率，车辆的优先级和争用延迟引入效用函数，以获得最佳速率。在公路和城市交通的两种测试场景中，与其他三种方法相比，该方法的性能已得到评估和验证。结果表明，与数据包状态相比，网络性能和效率在数据包丢失，信道繁忙时间和冲突消息数量方面分别平均提高了35％，30％和37.17％。公路测试方案的最新策略。对于城市测试方案，可以实现类似的性能。与高速公路测试方案的最新策略相比，其信道繁忙时间和冲突消息的数量分别更高。对于城市测试方案，可以实现类似的性能。与高速公路测试方案的最新策略相比，其信道繁忙时间和冲突消息的数量分别更高。对于城市测试方案，可以实现类似的性能。