# Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol
## 2 Method
### Dsdv-Aodv
#### 2.3.1 Work Mechanism of the Protocol
The DSDV-AODV routing protocol is represented by a segmented line. The AODV routing protocol is represented by a continuous line. 2. The scenario that has a structure made up of 20 fixed nodes and 20 movable nodes. The DSDV-AODV routing protocol is represented by a segmented line. The AODV routing protocol is represented by a continuous line. As seen in Figures 3-5, the \(X\)-axis shows the simulation's time (in seconds), while the \(Y\)-axis depicts the levels of delay (in seconds), QoS (in bits/s), and throughput (in bits/s). Figure 3: _Cont._Figure 4: Network delay graph in scenario 01: (**a**) 20 fixed and (**b**) 20 fixed + 20 mobile. Figure 3: Network QoS graph in scenario 01: (**a**) 20 fixed and (**b**) 20 fixed + 20 mobile. Comparison of QoS

According to Figure 3, while employing a fixed 20-node topology, the DSDV-AODV routing protocol improves AODV compared to the network QoS settings in the first scenario. Table 3 (a) demonstrates that there was a very significant increase in the outcomes from the start of the scenario to the end. In the second scenario, AODV achieved a lowest network QoS of 386 bits/s and 484 bits/s at 20 fixed and 20 mobile nodes, as shown in Table 3 (b). Comparison of Delay

The performance of DSDV-AODV, which improves AODV by adding DSDV, is shown in Figure 4. The graph demonstrates that routing methods become better when using mobile nodes. AODV has an average delay equal to 0.0043 s with 20 fixed nodes and 0.0025 with the addition of the mobile node, and DSDV routing has an average delay of 0.0046 s using 20 fixed nodes and 0.0026 with the addition of the mobile node topology; the DSDV-AODV routing protocol achieves the best results for the delay coefficient in both cases in the first scenario with an average delay of 0.0018 s in the topology of the static nodes and 0.0012 s with the addition of the mobile node topology. The simulation's ultimate results are displayed in Table 4 (a, b). Comparison of Throughput

Even if the results are near, Figure 5 depicts the throughput in the first scenario employing fixed nodes on DSDV-AODV, which is best after the experiment. According to Table 5 (a, b), DSDV-AODV yields the greatest results, averaging 629.43 bits per second with fixed nodes and 627.49 bits per second with mobile nodes. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multicolumn{5}{c}{**(a) 20 Fixed Nodes**} & \multicolumn{3}{c}{**(b) 20 Fixed Nodes + 20 Mobile Nodes**} \\ \hline
**AODV** & **DSDV** & **DSDV-AODV** & **AODV** & **DSDV** & **DSDV-AODV** \\ \hline
0.0052 & 0.0056 & 0.0025 & 0.0041 & 0.0046 & 0.0026 \\
0.0042 & 0.0038 & 0.0023 & 0.0039 & 0.0042 & 0.0014 \\
0.0043 & 0.0046 & 0.0018 & 0.0025 & 0.0026 & 0.0012 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Scenario 01 results: Delay parameter (second). Figure 5: Network throughput graph in scenario 01: (a) 20 fixed and (b) 20 fixed + 20 mobile. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multicolumn{5}{c}{**(a) 20 Fixed Nodes**} & \multicolumn{3}{c}{**(b) 20 Fixed Nodes + 20 Mobile Nodes**} \\ \hline
**AODV** & **DSDV** & **DSDV-AODV** & **AODV** & **DSDV** & **DSDV-AODV** \\ \hline
15.638 & 18.14 & 32.6 & 20.8 & 18.6 & 6.1 \\
365.35 & 385.36 & 660.72 & 341.35 & 420.35 & 725 \\
386.2 & 455.3 & 637.5 & 484.35 & 456.3 & 640 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Scenario 01 results: QoS parameter (kbps). #### 3.1.2 The Second Scenario

This section explains the variations in each parameter's findings from two scenarios with the same structure but different routing strategies. These scenarios are as follows:

1. The scenario in which the network contains 50 fixed nodes. The DSDV-AODV best results are QoS = 126.1, delay = 0.00168, and throughput = 260.53. 2. The scenario that has a structure made up of 50 fixed nodes and 50 mobile nodes. The DSDV-AODV results are QoS = 192.47, delay = 0.00062, and throughput = 130.8).