Adaptive MAC Model with Distributed Congestion Control in Intelligent Multiple Vehicular Ad-Hoc Network

Vehicular Ad-Hoc Network (VANET) is a trending connectivity-based communication paradigm that concentrates on enhancing the effectiveness of intelligent communication. In some of the cases of vehicular communication, high congestion occurs due to the unique characteristics of VANET, like high speed and unpredictable mobility, which leads to a reduction in the network’s adapting capacity, which results in frequent disruptions. With the intention of reducing those drawbacks in VANETs, in this paper, Adaptive MAC Model with Distributed Congestion Control in Intelligent Multiple VANETs (AMDCC-IMV) is developed. In the concept of the adaptive MAC model, the contention window for all the vehicles is analyzed according to the vehicle mobility, where SINR is also calculated, which helps to monitor the vehicles. Conversely, distributed congestion control is used on the vehicle and focuses primarily on the vehicle’s power and speed at any given moment. By controlling network congestion for high-speed trucks, this technique improves throughput and delivery ratio. The AMDCC concept is implemented in OMNET++ using a SUMO mobility generator, and the data success rate, data failure rate, end-to-end latency, and throughput are the metrics that are examined in the results investigation. The results have been compared with the previous approaches, such as VCE-CIV and RSUD-CIV. In comparison to those standard techniques, the suggested AMDCC-IMV achieved a 220 kbps increase in throughput and a 6% larger data success rate.