GHOSTS is a realistic user simulation framework for cyber experimentation, simulation, training, and exercise

INET Framework for the OMNeT++ discrete event simulator

Integrated Multiprotocol Network Emulator/Simulator

An ns-3 module for simulation of LoRaWAN networks

A discrete event process oriented simulation framework written in Julia. Formerly named SimJulia!

ns3-based network simulator for QUIC testing

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

Koszek-Matyja Network Simulator. Specify network architecture in a simple configuration file and run network simulations.

5G Network Slicing for Wi-Fi Networks

An implementation of Self-Organizing TDMA (STDMA) for VANETs in NS-3

A deterministic per-flow network condition/fault simulator

NS3 with CMake (upstreamed), MinGW/Msys2 (upstreamed) and experimental ClangCL/Visual Studio support

This tool presents a novel approach to bolstering network protocol verification by integrating the Shadow network simulator with the Ivy formal verification tool to check time properties. Furthermore, it extends Ivy’s capabilities with a dedicated time module, enabling the verification of complex quantitative-time properties.

reinforcement learning for power grid optimal operations and maintenance

OFSwitch13: OpenFlow 1.3 module for ns-3.

Examples for the IMUNES network emulator

Sunflower Full-System Hardware Emulator and Physical System Simulator for Sensor-Driven Systems. Built-in architecture modeling of Hitachi SH (j-core), RISC-V, and more.

[ACM SIGCOMM 2024] "m3: Accurate Flow-Level Performance Estimation using Machine Learning" by Chenning Li, Arash Nasr-Esfahany, Kevin Zhao, Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, Thomas Anderson.

Simulation of a routing protocol for Wireless Sensor Networks(WSN).

Network Traffic Transformer to learn network dynamics from packet traces. Learn fundamental dynamics with pre-training and fine-tune to multiple applications.