Active noise control systems use multi-channel references to increase coherence. Additionally, multiple speakers are used to control multiple control positions and broad band frequency. Because of this, even though the control filter update operation is performed in the frequency domain, the amount of calculation is very large, so an expensive and high-performance DSP must be used. If the control filter update operation, which is performed by the controller mounted on the vehicle, is calculated on the server, low-specification DSP can be used in the local vehicle, thereby reducing costs. Moreover, it has the advantage of being able to freely apply performance improvement algorithms using the server's abundant computing power. In this study, considering a wireless network real-time control system, the maximum delay time is analyzed to maintain control performance. When network speed is low and data errors occurred, we studied countermeasures to correct data errors at the receiving location. Accelerometer and microphone sensor signals are transmitted from the local controller to the server using a commercial wireless network service, and the server receives them and generates an updated control filter through a control algorithm. The generated control filter is transmitted from the server to the local controller and can be applied to the control sound generation algorithm to increase control performance. In addition, we developed a system that allows tuning of control variables and analysis of convergence performance when creating a control filter in the server. In this study, we developed a server-based active noise control system that updates control filters on a server based on wireless network, thereby reducing the cost of in-vehicle controllers, expanding control flexibility, and securing a foundation for performance improvement, thereby establishing a foundation for expanding application of active noise control technology to other vehicles which is limited due to high cost of local ANC controller.