NS2 Simulation Projects

AI-Based NS2 Simulation Projects for Final Year Students help to simulate wireless, mobile, MANET, and VANET networks. They are widely used for testing and implementing routing protocols, especially in Ad-hoc networks such as MANET (Mobile Ad-hoc Network) and VANET (Vehicular Ad-hoc Network). AI-Based NS2 Simulation Projects for Final Year Students are built using C++ as the core with a TCL interface for creating topologies. Being an object-oriented simulator, NS2 supports class hierarchy in C++, making it a powerful tool for networking research. We provide complete guidance for students and researchers to design and implement their own AI-Based NS2 Simulation Projects for Final Year Students.

Components of NS2 Simulation Projects

AI-Based NS2 Simulation Projects for Final Year Students can be used to simulate wireless networks. Each wireless node typically consists of the following components:

1. Interface queue

2. Link Layer

3. The PHY layer

4. The MAC layer

To begin, we need to define the type of network, antenna model, and routing protocols for the nodes. After that, the simulator is configured to execute the experiment.

How NS2 Simulation Projects Work?

To run AI-Based NS2 Simulation Projects for Final Year Students, TCL scripts must be written. The process starts by defining variables such as the type of protocol and the routing protocol to be implemented. Next, the network simulator object is created, topography is defined, and nodes are generated with size, shape, and color. Finally, the simulation is executed, and results are recorded for analysis.

Example of NS2 Simulation Projects

For example, in an AODV routing protocol scenario, nodes are created where two act as servers transmitting packets. The simulation can be configured so that the server transmits packets without loss. Parameters such as packet size, color, and node properties can also be defined to visualize the process.

As shown in the figure, node 8 acts as the server and sends packets to node 6. We provide end-to-end support for scholars and students to design, develop, and analyze their own AI-Based NS2 Simulation Projects for Final Year Students successfully.