# Design of a Technique for Accelerating the WSN Convergence Process
## 7 Discussion  
To verify the results of the presented simulations, additional tests were created, which served to verify the results and contributed to the confirmation of the hypothesis established in Section 3. In Scenario 1, a simple AODV life cycle simulation was presented. Five different tests verified this simulation, the results of which are presented in Table 3. All simulations were run for 180 simulation seconds. They differ in the number of nodes on which the BFD mechanism is running and the settings of the detectMult (detection multiplier) and rapidTransmissionInterval (accelerated BFD packet sending interval) parameters. Packet loss represents the percentage value for how many \"ping\" requests did not receive a response. The average packet travel time is the average time of all successfully received pings. This time is measured from the origin of the ping request to the successful delivery of its response. Recovery time is the time required to restore the connection after an outage. The time is measured from the detection of the outage to the restoration of the connection when the sending node is again allowed to send the ping request. The following tests were performed:  
* Test 1 is a simulation without the BFD mechanism. * Test 2 is a simulation with the BFD mechanism not activated on any node. * Test 3 is a simulation with the BFD mechanism activated on the sender and intermediateNodeA nodes. * Test 4 is a simulation with the BFD mechanism activated on the nodes sender, intermediateNodeA, and intermediateNodeB. * Test 5 is a simulation with the BFD mechanism activated on all nodes. * Each scenario was repeated 20 times to confirm and validate the result. Our implemented BFD mechanism reduced the average packet travel time just by applying it without actively enabling it on any node. This application caused some shift in the event scheduler, where it prevented the RREP from being lost during the initial creation of the AODV path. It can also be seen from the results that our implemented mechanism worked without problems during the expected outage, where it was applied only to the sender and intermediateNodeA nodes. These nodes are the center of the outage, as the sender node broadcasts traffic, and the intermediateNodeA becomes the outage itself. The other scenarios initially resulted in packet losses, which we managed to solve by adjusting the parameters and thus achieving the required zero loss rate, reducing the average packet travel time and reducing the network recovery time. We also achieved similar results when applying our mechanism to a simulation with a larger number of nodes, specifically to a simulation without mobility with a host node failure [16]. The achieved results are shown in Table 4. To test the proposed Scenario 2, five different tests were carried out:  
* Test 6 as a simulation without the BFD mechanism. * Test 7 as a simulation with the BFD mechanism not activated on any node. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**The Name of the** & **Detection** & **Accelerated** & **Packet Loss Rate** & **Average Packet** & **Recovery Time (s)** \\
**Scenario** & **Multiplier** & **Interval (s)** & **(\%)** & **Travel Time (ms)** & **Recovery Time (s)** \\ \hline Test 1 & 3 & 0.1 & 0.564972 & 3.85699 & 0.90747 \\ Test 2 & 3 & 0.1 & 0.564972 & 2.03286 & 0.90971 \\ Test 3 & 3 & 0.1 & 0 & 2.03401 & 0.66698 \\ Test 4 & 3 & 0.1 & 1.12994 & 2.03663 & 0.66698 \\ Test 4 & 2 & 0.1 & 0 & 2.04288 & 0.76905 \\ Test 5 & 3 & 0.1 & 1.69492 & 4.43788 & 0.92814 \\ Test 5 & 2 & 0.1 & 0.564972 & 4.84417 & 1.03019 \\ Test 5 & 3 & 0.15 & 0 & 4.99224 & 0.87140 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Simulation results of a simple AODV life cycle. Test 8 as a simulation with the BFD mechanism activated on host [0] and host [16]. * Test 9 as a simulation with the BFD mechanism activated on all nodes. * Test 10 as a simulation with the BFD mechanism activated on all nodes except the host node [1].