The TDL (Tactical Data Link) network employs a TDMA (Time Division Multiple Access) scheme, in which the network resources of each wireless node are allocated to time slots. The method of time slot allocation for each node is based on expert experience and operational requirements. However, this method has limitations because it is difficult to verify real-world operational environments due to high costs and time requirements. To address these limitations, this study developed a TDMA simulator using SimPy, a Python-based discrete-event simulation framework. The proposed simulator enables analysis of time slot allocation methods under varying operational environment conditions. Simulation experiments were conducted to evaluate times slot requirements under different maximum message transmission delay time thresholds (6s and 12s). The results showed that stricter delay time thresholds and higher number of tracks increased the required number of time slots. In addition, the required number of time slots increased differently depending on the complex interaction of factors such as the number of tracks, delay time thresholds, operational scenarios. The proposed simulator provides more precise insights and supports more reliable TDL network design than conventional methods.