**4.2 Scalability**

The figure26 shows the results of the following metrics obtained of the table6. In this manner can visualize the behavior of: delay, throughput, send and received packets against quantity of number nodes.


Table 6. Shows FHAMIPv6/AODV

Fig. 26. Delay, Throughput, Send and Received Packets vs. Number nodes

20 Mobile Networks

ACN→AN1→AMAP→AN2→APAR→AMN In that moment, the AMN begins moving towards the ANAR and finishes in the 15,0th s. In the 15,08rd s the AMN receives the first packet from the ANAR. From then on, this will be the route that will allow the AMN access to the FHAMIP network. Simulation ends after 20

The figure26 shows the results of the following metrics obtained of the table6. In this manner can visualize the behavior of: delay, throughput, send and received packets against

15 320,93 52,76 136,32 655 615 6,11 20 308,03 46,92 136,9 658 617 6,23 25 330,34 58,05 126,04 608 571 6,09 30 314,55 59,67 99,5 460 450 2,17 35 263,93 50,65 111,7 539 505 6,31 40 214,36 62,8 75,71 354 332 6,21 45 309,0 104,53 56,23 267 255 4,5

Packets

Lost Packets (%)

Nodes Delay(ms) Jitter(ms) Throughput(Kbps) Send Packets Received

Fig. 26. Delay, Throughput, Send and Received Packets vs. Number nodes

15 20 25 30 35 40 45 **Nodes**

Delay(ms) Throughput(Kbps) Send Packets Received Packets

**Delay, Throughput, Send Packets and Received Packets Vs Nodes**

seconds of starting.

quantity of number nodes.

Table 6. Shows FHAMIPv6/AODV

0

200

400

600

800

**4.2 Scalability** 

In order to extend the different results obtained in the simulations, the function (figure27) shows the behavior for different scenarios of simulation. With this functions could predict what happens with the metrics (Delay, Throughput, Send and Received Packets) against quantity of number of nodes. In this manner we could predict what happen when the number of nodes and the flow are traffic is increased.

Fig. 27. The figure show the functions Delay, Throughput, Send and Received Packets an Number nodes

The figure 28 shows the results of the following metrics obtained of the table 2. In this manner can visualize the behavior of delay, throughput, send and received packets with different number nodes.

Fig. 28. Jitter and Lost Packets vs Number nodes

Mechamisms to Provide Quality of Service on 4G New Generation Networks 23

To achieve the integration was necessary to modify the source codes of MPLS and FHAMIP. In this section the same way as in the other sections, we used the base scenario proposed by R. Hsieh and then the number of nodes and traffic flow was increased in order to analyze the scalability of the integration. The Tests were realized with: 9, 20 and 30 nodes. The QoS metrics analyzed were: Delay, jitter, throughput, send and received packets and lost packets. The figure 30 Shows that initially the AMN is in the area of the AHA in communication with the ACN, it can also be observed that the core MPLS is formed by MAP/GW1, LSR2, LSR3, PAR/LER1, NAR/LER2 nodes. Where the MAP/GW1 node performs the functions of default gateway, the nodes LSR3 and LSR2 are used simultaneously as Label Switching Routers and intermediate nodes FHAMIPv6; it can also be observed that the nodes PAR/LER1 and NAR/LER2 have functions of MPLS edge router and access router for FHAMIPv6. Furthermore, the node AN1 only functions as an intermediate FHAMIPv6 node and has no has no MPLS functions, while ACN and AHA nodes correspond to the corresponding node and base agent respectively, lastly the AMN node represents the mobile node. With regards to the characteristics of the wired links, table7 presents details. From the table above, we can highlight the fact that the link AN1 - MAP/GW1 has a superior

bandwidth and delay than the rest, because it represents a connection with Internet.

Fig. 30. Scenario of simulation

In order to extend the different results obtained in the simulations, the function (figure29) shows the behavior of the different simulation scenarios. With this functions could predict what will happen with the metrics (Delay, Throughput, Send and Received Packets) and the number nodes. In this manner, we could predict what happens when the number of nodes and flow of the traffic is increased.

Fig. 29. The figure show the functions Jitter and Lost Packets vs. Number nodes
