## 3 Results and Discussion
In Figure 6, this effect is more pronounced, because the values from Set 2 take into account the fact that the probability \(p_{s^{\sigma}}\) increases with the increase in the value of \(S_{w}\); accordingly, the dominance of the SIS mechanism begins to be observed at lower values of the parameter \(S_{w}\), and as the value of this parameter increases, it ceases to depend on the value of the probability \(p_{s^{-}}\). To emphasize the conclusions made here, we visualized the three-dimensional dependencies \(q_{i}=f\big{(}S_{w},p_{s^{\sigma}},p_{s^{-}}=2.5\times 10^{-3}\big{)}\) for Set 1 (Figure 7) and Set 2 (Figure 8). The results shown in Figure 7 demonstrate the presence of an extremum of the function \(q_{i}=f(S_{w},p_{s^{\prime}})\). Moreover, the value of the argument \(p_{s^{\prime}}\) affects only the value of the function at the extreme points, but not the positioning of these points in the dimension \(S_{w}\). This fact echoes the results of the analysis of Figure 3. In general, it can be concluded that for initial data synthesized within the limits defined by Set 1, the mathematical apparatus proposed in Section 2.2 allows for the determination of the optimal TCP Window Size value, in particular, \(S_{w}=18\). Figure 8 demonstrates that for small values of \(S_{w}\) (in the range of \([2,30]\)), the target connection between the SNEIoTD environment and a hub, characterized by the output data synthesized within the limits defined by Set 2, is under the control of the SIS mechanism. At values of \(S_{w}>30\), the control initiative of the target connection passes to the AI/MD mechanism. This fact is fully confirmed by the logic of the TCP, which we focused on in Section 2.1. Now let us examine how the moments of the first (mathematical expectation) and second (variance) orders for the TCP Window Size parameter depend on the values of probabilities \(p_{s^{\prime}}\) and \(p_{s^{\prime}}\). The data for this calculation were obtained in the context of the rules summarized in Set 1. This calculation's results are presented in Figures 9 and 10. Figure 8: Visualization of dependence \(q_{i}=f(S_{w},p_{s^{\prime}},p_{s^{-}}=2.5\times 10^{-3})\) calculated for Set 2. Figure 9 shows that the mathematical expectation of the parameter \(S_{w}\) is a monotonically decreasing function, the value of which is affected by the argument \(p_{s^{-}}\) significantly more than the argument \(p_{s^{o}}\). This circumstance can be explained by the fact that (for Set 1) the equality of \(q_{i}^{0}=0\) is fulfilled for all \(i>L\), that is, with a sufficiently large value of \(S_{w}\), the probability of activation of the SIS mechanism due to the arrival of the signal \(s^{o}\) is unlikely. From Figure 10, it can be seen that the variance of the parameter \(S_{w}\) is characterized by the presence of extreme values in the range of \([0,1]\) for both arguments, \(p_{s^{-}}\) and \(p_{s^{o}}\). However, the tendency for the greater influence of the parameter \(p_{s^{-}}\) compared to the parameter \(p_{s^{o}}\) on the value of the resulting function persists here. We also emphasize that the variance in the TCP Window Size can be a monotonic function because it is determined not only by the values of the parameters \(p_{s^{-}}\), \(p_{s^{o}}\), and \(S_{w}^{\max}\), but also by the variance of the parameter \(T_{rt}\). We completed the experimental phase of this research by proving the positive effect of using the proposed mathematical apparatus. In the previous part of this research, published in [7], the authors compared the modified version of the TCP Westwood+ protocol with analogues such as TCP Westwood+ (without modification), TCP NewReno, TCP Vegas, BIC TCP, and TCP Veno. The object of this research was the process of information interaction between the SNEIoTD and a hub with a communication channel implemented based on the 5G platform. The modification consisted of the implementation of the scheme for controlling the Window Size parameter proposed by the authors.