NS3: Network Simulator for Research & Education

Hands-on Simulation of Modern Networks for Learning and Research

What you'll learn
- Understand and apply network simulation concepts by modeling various network topologies and protocols using NS-3.
- Develop hands-on skills in writing NS-3 scripts with C++ and Python to configure nodes, channels, and devices.
- Analyze network performance through metrics like throughput, delay, packet loss, and visualize simulation results effectively.
- Design and evaluate real-world network scenarios, including wired, wireless, and hybrid networks, for research and educational purposes.

Requirements
- Basic understanding of computer networks, including concepts like TCP/IP, UDP, routing, and network topologies. Familiarity with programming, preferably in C++ or Python, as NS-3 scripts are written in these languages. Basic knowledge of Linux or Windows operating systems, including running command-line tools and installing software. Interest in network simulation and research, with a willingness to experiment with network models and analyze results. No prior NS-3 experience required—the course is suitable for beginners as well as intermediate learners looking to enhance practical skills.

Description
"This course contains the use of Artificial intelligence"

NS3: Network Simulator for  Research & Educationis a comprehensive course designed to provide learners with practical and theoretical knowledge of network simulation using NS-3. NS-3 is an open-source, discrete-event network simulator widely used in research, academia, and industry to model and analyze the behavior of modern networks.

This course begins with the fundamentals of network simulation, guiding students through the installation and configuration of the NS-3 environment on different operating systems. Learners will explore various network topologies, including point-to-point, star, mesh, and wireless networks, gaining hands-on experience in setting up nodes, channels, and devices. The course covers essential networking protocols such as TCP, UDP, and routing algorithms, emphasizing their practical implementation and performance analysis.

Students will learn to generate and interpret simulation outputs, including trace files, network statistics, and performance metrics such as throughput, delay, and packet loss. Visualization techniques will be taught to analyze network behavior effectively. Advanced topics include wireless networks, IEEE 802.11 protocols, mobility models, and real-world scenario simulations.

By the end of the course, learners will be equipped with the skills to independently design, implement, and evaluate network simulations, making it ideal for students, researchers, and professionals looking to enhance their understanding of networking through hands-on experimentation and research-oriented learning.

Who this course is for:
- Students and learners who want to gain practical skills in network simulation and understand networking concepts in depth. Researchers and academicians looking to model, simulate, and analyze networks for projects, papers, or experiments. Networking professionals and engineers who want to explore NS-3 for testing network protocols and performance evaluation. Beginners and intermediate learners interested in hands-on experience with wired, wireless, and hybrid network simulations. Anyone curious about network behavior and performance analysis in a controlled, simulated environment.
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