Due to the increase in the data been transmitted every single second around the networks all over the world, also the integration of both data and voice over the existing network infrastructure which ensure low cost, and enhance the network management which result of a huge amount of data crossing the links from this point come the need of queue management to control this data from the source to the destination, there been various development in this area, so two classifications was founded which is passive queue management (PQM) and active queue management, this paper focus in active queue management and its variant, basically this thesis presents an inclusive study about the effect of active queue management (AQM) on Voice over Internet Protocol (VoIP) quality of service Using simulations. The valuation is done using the OPNET Modeler, which offers a appropriate and easy-touse plat form for simulating all types of networks and this also give option to go through different levels of designing a network even with the ability to program the mechanism you want which is used here to implement two types of AQM mechanism which is not involved by default in the OPNET and these two mechanisms are ARED and GRED. The performance parameters used in the study are queue size, packet drop probability, and packet loss rate. The study shows that, among the four algorithms, ARED and GRED are more effective in reducing end-to-end delay and stabilizing the queue size which automatically reduce delay and jitter. In addition to that, it showed a significant impact on controlling the packet loss rate while maintaining high link utilization.