The continuous transfer of messages in vehicular\udad hoc networks leads to a heavy network traffic load. This\udcauses congestion in the wireless channel which degrades the\udreliability of the network and significantly affects the Quality of\udService (QoS) parameters such as packet loss, throughput and\udaverage delay. Therefore, it is vital to adapt the transmitting\uddata rates in a way that ensure that acceptable performance is\udachieved and that there is reliable communication of information\udbetween vehicles in smart cities. This means the information\udwill be delivered in a timely manner to the drivers, which in\udturn allows implementation of efficient solutions for improved\udmobility and comfort in intelligent transportation systems. In\udthis paper, congestion control in the communication channel has\udbeen formulated as a non-cooperative game approach and the\udvehicles act as players in the game to request a high data rate in\uda selfish way. The solution of the optimal game is presented by\udusing Karush-Kuhn-Tucker conditions and Lagrange multipliers.\udSimulation results show that the proposed method improves\udnetwork efficiency in the presence of congestion by an overall\udaverage of 50.40%, 49.37%, 58.39% and 36.66% in terms of\udthroughput, average delay, number of lost packets and total\udchannel busy time as compared to Carrier-Sense Multiple Access\udwith Collision Avoidance mechanism
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