Detecting and controlling the occurrence of data congestion in a high-density VANETs Environment

Vehicular Ad-hoc NETworks (VANETs) is a specialized kind of Mobile Ad-hoc Network (MANETs) class as it works with the safety of vehicles that are moving on the roads. There are several difficulties, and data congestion is a leading hurdle. This paper starts with generating an appropriate route that will be employed to identify data congestion in a high-density VANETs environment. Next, a suitable approach is introduced for controlling and managing that detected data congestion. Subsequently, the network's performance after introducing our proposed approach is analyzed by considering three distinct parameters, including Packet Loss Ratio (PLR), Delay, and Throughput. These metrics are applied to investigate the performance of four different algorithms: CABS, UO-Tabu, MO-Tabu, and VANETomo, along with our proposed algorithm. The comparison outcomes declared that our recommended algorithm provides more reliable results than the other algorithms. Our suggested algorithm provides the immense value for the Throughput and the least value for the PLR and Average Delay. This paper is concluded by projecting to select additional novel metrics and strategies to detect and manage the data congestion occurring in VANETs.