# Multilayered Network Model for Mobile Network Infrastructure Disruption
## 6 Simulations and Results
### Simulation Scenarios
#### 6.1.4 Results of Simulation Scenario 1  
In the first simulation scenario, we consider a WSN network with wireless sensors and WSN gateways according to the \"sink mobility\" of the RPL-Weight protocol. In all simulations, only one AP was functional and its positions were changed according to the description in Section 6.1.1. In the case of WSN-MANET simulation, the routing protocol starts at WSN sensor 393, which is the source of urgent data. This sensor searches an optimal routing path to the WSN gateway sensor, which transfers data to the MANET node if AP is not in its radio range. The MANET network, then transfers urgent data to the functional AP by optimal routing path. Amount of urgent data was set to 100 KB. The results are examined data rates, the time required to transfer the data, and the number of hops from the source node to the access point. The first result examines the total average delivery time of 100 Kb urgent data from the source sensor to the AP. This result is depicted by the graph in Figure 19. The graph shows the total average time required to deliver data via the traditional WSN network and via WSN-MANET network within the multilayer network model. The time required to redirect data on individual devices was not considered in these simulations. Figure 18: Example of simulation scenario 3. The brown circles are illustrations of MANET node’s radio ranges. \begin{table}
\begin{tabular}{l c} \hline \hline
**Variable** & **Value** \\ \hline Area size [m] & \(500\times 500\) \\ WSN sensors number & 2000 \\ WSN sensors radio range [m] & 10 \\ MANET nodes number & 50, 75, 100 \\ MANET nodes radio range [m] & 50 \\ Speed of MANET nodes [m/s] & 1.4 \\ Mobility model & Random-Way Point \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Scenario 3 simulation variablesIn the case of the WSN-MANET network, it is possible to observe a double component of time in bar graphs. Full time is composed of the time required for urgent data transmission via the WSN network and subsequently via the MANET network. With the help of this graphical representation, it can be seen that the majority of the total time required to transmit data is formed by the time required to transmit data over the WSN network. Therefore, it is possible to say that MANET network significantly speeds up data transmission. The overall result for all AP positions shows a significant reduction of data transfer time in the case of WSN-MANET model, with the trend being more pronounced when the distance between the WSN source sensor and AP increases. Although the total data delivery time in the WSN network increases significantly with increased distance between the WSN source sensor and AP, in the WSN-MANET network this trend increases only very slowly. This is due to the fact that the delivery time of the WSN component is almost the same for each AP position since the WSN sensor gate was available for one jump in most cases and also due to MANET data rate, where transmission of 100 Kb urgent data is fast. The second result depicted by the graph in Figure 20 expresses the average number of hops from the source WSN sensor to the AP. As with the first result, hops in the WSN-MANET network graph bar are represented as individual components of WSN and MANET networks. Figure 19: The total average delivery time of 100 Kb urgent data from the source sensor to the AP. Figure 20: The average number of hops from source WSN sensor to AP. In contrast to the first result, increasing transmission time of WSN-MANET network through all AP positions shows insignificant trend, while the increasing trend of hops in the case of the WSN-MANET network in the case of the second result is more pronounced. However, the number of hops in the WSN-MANET network is lower in each simulation. For position 1, the number of hops decreases approximately by 42%, while for the other positions the interconnection of WSN and MANET networks reduces the number of hops by more than 50%. This reduction increases with the highest distance between the source WSN sensor and AP.