Open Source Windows Network Simulators

Build, Design and Test your network in a risk-free virtual environment and access the largest networking community to help. Whether you are studying for your first networking exam or building out a state-wide telecommunications network, GNS3 offers an easy way to design and build networks of any size without the need for hardware.

Bean Network Tester is a tool for testers and developers: check how your application behaves on a poor connection. Like Clumsy or NetLimiter, it lets you deliberately degrade the network - add ping, drop packets, cap the speed, tear connections down, and more. It works by intercepting traffic with the WinDivert driver (via PyDivert), and offers both a clear windowed interface with tooltips and a command-line mode for CI. https://beannetworktester.donislawdev.com/

Netsim is a mobile ad hoc network simulator targeted at large heterogeneous node configurations. It is written in Java and is easily extensible through its modular concept.

The goal of this project is to be an improvement of the original Network Animator (NAM) module provided as part of the Network Simulator 2 (NS2). This tool provides topology visualization, TCL script generation, and enhanced simulation animation.

The Common Open Research Emulator (CORE) is a tool for emulating networks on one or more machines. You can connect these emulated networks to live networks. CORE consists of a GUI for drawing topologies of lightweight virtual machines, and Python modules for scripting network emulation.

The DV-Hop, Amorphous, Centroid and APIT source code for NS2. Please reference this work as follows: A. Pineda-Briseño, R. Menchaca-Mendez, E. Chavez, G. Guzman, R. Menchaca-Mendez, R. Quintero, M. Torres, M. Moreno, and J. L. Diaz-De-Leon. "A Probabilistic Approach to Location Estimation in MANETs." Ad Hoc & Sensor Wireless Networks, vol. 28, no. 1-2, pp. 97-114, 2015.

The program Virtual Network Simulator for Web 2.0 is a tool that allows the simulation of assembly and configuration of computer network projects, virtual or physical. It also simulate the sending of a package between the hots of origin and destinati

In an optical network scenario which consists of multiple nodes (whiteboxes) at its edges and ROADMs in-between, the coherent transceiver average laser configuration time is improved. The process is evaluated according to a testbed setup. This is facilitated in the appropriate lab equipment (or via simulation when required). For that purpose, a software agent (Netconf server) residing at the whiteboxes, is developed receiving input from the Software-Defined Networking (SDN) packet controller (PacketCTL - a Netconf client). Then, configuration of the local transceiver laser frequencies of the controlled pluggable devices takes place, for facilitating the connectivity in-between the ROADM network. Also, the agent records and reports back telemetry data (feedback) which is used by the PacketCTL's resource-allocating mechanism to improve efficiency within the network topology.

GatcomSUMO is a multi-platform application that facilitates the building of VANET simulations using the SUMO traffic simulator and the OMNeT++ network simulator. The tasks related to the generation of abstract or synthetic scenarios, the download and conversion of network scenarios based on real maps (e.g. from OpenStreetMap), the route creation process, and the vehicles mobility modelling are integrated in a user-friendly graphical interface. This tool performs the necessary actions by invoking the set of utilities included in SUMO, saving the user from typing complex command-line orders. GatcomSUMO visualizes the network and routes easily, and they are created in such a way to meet the requirements of the involved simulators, in particular OMNeT++, in order to avoid misunderstandings and runtime errors. The application allows the conversion of the spatial coordinates used by SUMO into those used by OMNeT++, which is essential to place fixed elements like RSUs.

A network simulator written in flash. Build up a topolog and send packets throught your network, see and inspect them as they travel, change the headers and observe such protocols as ARP and switch learning.

2023-03-20: the latest version of the XG-PON model for ns-3.35 is in GitHub (https://github.com/ajerikko/xgpon4ns3-v3/releases/tag/v3.1). It contains major changes to example code. Please use it for new activities. 10-Gigabit-capable Passive Optical Network (XG-PON), is regarded as one of the key technologies for future Internet access networks. This project develops an XG-PON module for the NS-3 network simulator - a G987 (ITU-T) standards-compliant, configurable, and extensible module that can simulate XG-PON that can support a wide range of research topics. This work was supported in part by SFI through CTVR. Please use the below citation when using this module: Arokkiam, Jerome A, Pedro Alvarez, Xiuchao Wu, Kenneth N Brown, Cormac J Sreenan, Marco Ruffini, Nicola Marchetti, Linda Doyle, and David Payne. “Design, Implementation, and Evaluation of an XG-PON Module for the Ns-3 Network Simulator.” SIMULATION 93, no. 5 (May 2017): 409–26. doi: 10.1177/0037549716682093

Yans is a extensible, mixed-level, Monte-Carlo Method based, discrete event network simulator. Yans is divided into interacting layers, namely: core, topology, nodes, monitors; and is driven by a config-file that describes the setup of the network.

For new versions, check https://github.com/Darkkey/javaNetSim javaNetSim (Java Network Simulator) - it's a fork of a project jFirewallSim. The main goal of javaNetSim is creating a software to simulate various TCP/IP networks based on Ethernet, WiFi, PPP, etc...

Wireless Sensor Network Simulator Castalia is a simulator for Wireless Sensor Networks (WSN), Body Area Networks (BAN) and generally networks of low-power embedded devices. It is based on the OMNeT++ platform and can be used by researchers and developers who want to test their distributed algorithms and/or protocols in realistic wireless channel and radio models, with a realistic node behaviour especially relating to access of the radio. Castalia can also be used to evaluate different platform characteristics for specific applications, since it is highly parametric, and can simulate a wide range of platforms.

iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.

UM-OLSR is an OLSR (Optimized Link State Routing protocol) implementation for the ns2 network simulator.

JNS is a Java version of the ns-2 network simulator originally from Berkeley. It allows developers of routing and other network protocols to simulate their protocols under various conditions.

This is an implementation of the Granular Neural Network architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.

AHANNS enables the user to create and train artificial neural networks. Training is carried out by an implementation of back propagation learning algorithm. See the documentation for details. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

AWNetS(Aibear Wireless Network Simulator)is a C++ written,fire-new discrete-event wireless network simulator which integrates network and communication simulations.It also focuses on various kinds of wireless networks including satellite and HAP.

BlueHoc is an open source Bluetooth technology simulator. It simulates the baseband and link layers of the Bluetooth specifications.

Cervelletto is a neural network simulator. It uses a new neural model based on biological, neurological and psychological studies. [it's not yet completed... just give me some weeks! sorry!]

This project is based on a personal effort for researches on dynamics of coevovling networks. As a physicist, I am trying to build a framework for discrete-time dynamics of general networks, and its software libraries with APIs.

Datagram Congestion Control Protocol (DCCP) for Network Simulator.