Congestion Control in VANETs based on Message Rate Adaptation by the Exponential Function

Vehicular ad hoc networks (VANETs) have developed just in time to lower the number of fatalities that occur while driving and offer users an effective information exchange for apps that are related to entertainment. The most significant items of the Internet of Things (IoT) are VANETs. To enhance the user's quality of life, complete connections among all vehicles should be established. The constant connectedness and sharing information cause the communication channel overloading by information, which increase the busy time of channel. Many techniques for decentralized congestion control (DCC) are outlined in order to lessen channel congestion and offer a number of safety applications. In this work, we develop a decentralized congestion management system by adapting the message rate based on the exponential function. The system was simulated by SUMO and the open source OMNET++ software. The simulated results showed that the use of this technique reduces the channel busy time and the total lost packets. Also, the reduction rate using the exponential function was better in the case of increasing the decay factor and with a large number of vehicles. According to the outcomes of the simulation, we can conclude that the message rate control mechanisms enhances the vehicular network performance by lowering channel congestion.