Wireless computer applications enclose smart homes, automated industrial environments, e-commerce, and other real-time extensions of conventional Internet of Things applications. Data management is a crucial process due to fluctuating traffic patterns and infrastructure support. By considering the significance of data management in such applications, this article introduces the Application Reliable Traffic Control (ARTC) method. The proposed method relies on the application requirement for minimum and maximum service data dissemination at the initial stage. Based on the application requirements, traffic forwarding and infrastructure allocation processes are performed for continuous data dissemination. The regressive learning model used in a linear dissemination analysis process helps to balance the application requirement. The performance of the proposed method is analyzed using the metrics of backlogs, latency, and dissemination loss.