Predicting Network Congestion with LSTM | ns-3 Simulation & Python Model
Автор: YASH KUMAR SINGH
Загружено: 2024-12-07
Просмотров: 80
Описание:
Explore how to predict network congestion using a hybrid approach of ns-3 simulations and LSTM-based deep learning models in Python. This video covers:
1️⃣ Setting up a simple network in ns-3 to simulate real-world metrics like throughput, latency, and packet loss.
2️⃣ Generating synthetic network data for training using Python.
3️⃣ Building, training, and testing an LSTM model to classify congestion risk based on historical data.
4️⃣ Visualizing results and saving the model for future predictions.
Whether you're a network engineer or a data scientist, this tutorial bridges simulation and machine learning for smarter network management!
🔗 Code Repository: https://colab.research.google.com/drive/1J...
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