Self-organized Vehicular Ad-Hoc Networks (VANETs) rely on the dependable transmission of decentralized status information. Since the number of connected vehicles will significantly increase in the future, methods are necessary to ensure reliable information dissemination under dense conditions. Due to the high variability of VANETs, protocols for VANETs need to be highly adaptive to cope with any upcoming situation to ensure neighborhood awareness, avoid channel congestion, and provide fairness. While Awareness Control (AC) proposes to reduce the amount of redundant information by considering vehicle dynamics, Decentralized Congestion Control (DCC) focuses on adjusting multiple communication parameters based on current channel status to control the local network load. This work evaluates the interaction of AC and DCC compared to the stand-alone version of both algorithms. Therefore an urban as well as a congested motorway scenario are carefully simulated and common as well as specific metrics are used to reveal the performance. It is shown that DCC in general offers acceptable results in terms of reducing channel congestion, but struggles with stability, while AC as a stand-alone mechanism is not able to avoid channel congestion in areas with high vehicle density. Although interaction of both mechanisms is beneficial in many areas, there are situations where the overall communication performance is decreased by the combined approach.