This is the second scenario and this is indicated as scenario 2, the main aim of this scenario is generating the CBR traffic across the MANET and also to estimate the traffic’s performance. This scenario also requires the creation of a scenario similarly to the scenario 1 but this scenario can be created by duplicating the scenario 1 by just selecting the scenario menu and then by the duplicate scenario option and then place the duplicate scenario on the work station and then used as the scenario2.
Then for that duplicate scenario changes are made based on the requirement as it suits for scenario 2 and then the scenario will be ready to use as scenario 2. The setting for the scenario 1 and scenario are almost similar but have few differences in terms of traffic type and application used. In this scenario CBR traffic generated and so voice application of low quality is used as the type of application. The parameters required for scenario 2 are as follows:
- 200 mobile nodes are taken for the simulation
- Campus is taken as the network scale
- 500X500 meters area is used as the capacity area
- MANET model is used as the model family
- AODV is used as the routing protocol
- Voice of low quality is selected for the application
- CBR is the traffic type generated and the traffic parameter is set by default.
Therefore it is clear that application type used will show impact of the traffic nature across the Mobile adhoc networks. In order to pass the CBR traffic across the MANETs the voice application of low quality is used as the application for this particular scenario. Then the parameter of traffic in this scenario is set to default. This scenario also uses the AODV routing protocol to send the traffic across the MANET and the results obtained are explained in the results chapter.
Once the setting required for the scenario 1 and scenario 2 are completed these scenarios are said to be prepared for running and for this they require few statistics. In this project the DES statistics are used for the running of the scenarios and these are set for the scenarios by just right clicking on the scenario and then by selecting the option. In general the statistics are three types and they are the link statistics, Node statistics and Global statistics. The statistics that are at the entire network are considered as the global statistics, the statistics that are at the node level are considered as the node statistics and the statistics that are a link level are called as the link statistics. Here in this particular project the global and node statistics are used for the evaluating the performance of the traffics. The screen shots given in the appendix section create a better awareness of selecting these statistics.
The individual performance of the traffics is evaluating by considering the node level statistics whereas the global statistics are used for the comparison of the TCP traffic performance over CBR traffic performance. This comparison is done in terms of few wireless LAN metrics like load, delay and throughput using the AODV routing protocol. The time considered for the simulation of these scenarios is 2 minutes. The time taken for getting the results also becomes late because the number of nodes used is 200. The results that are achieved by the simulation of scenario1 and scenario 2 are used for the estimation of individual performance and also for the comparison between the traffic sources in terms of the metrics. The results chapter explains the results obtained by the simulation.
The simulation of all the other six scenarios is similar to these two scenarios but with a different routing protocol. The scenarios 3 and scenario 4 are similar to the scenario 1 and scenario 2 respectively but the routing protocol used here is DSR routing protocol. Then the OLSR routing protocol is used for the scenario 5 and scenario 6 and all the other process is similar to scenario 1 and scenario 2 respectively. And the scenarios 7 and scenario 8 uses the TORA hybrid routing protocol and the rest of the simulation procedure is same as scenarios 1 and 2 respectively. All the results obtained from the 8 scenarios are used in achieving the significant aim of the Master of Science project.
This paper is written and submitted by Sujana Priya V.