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.
A neuronal network simulator using NeuroML (as generated by neuroConstruct) for network description. Conductance- and rate-based Hodgkin-Huxley neuron models, and a number of other neurons & synapses. A 5-6-order RK method is used for integration.
An ICN Simulator based on the Blackadder paltform.
This is a basic implementation of an Information-Centric Network simulator, following the architecture suggested by Blackadder. It was by the University of Essex for the needs of the PAL project and it include Publishers, Subscribers, RV and a Topology Manager.
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...
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Simured is a multicomputer network simulation whith visual interface to see packet movement on the network. It is multi platform and there are versions in Java and C++.
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.
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.
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.
Mangrovia is a tool for automatic complex multilayer topology generation in a compatible format with Network Simulator 2 (ns-2). Based on specs (in xml format), software creates an otcl script. Users can set Bandwidths, Distances, Linking Policies.
DSR-UU is an implementation of the Dynamic Source Routing protocol that runs in the Linux kernel or in the ns-2 network simulator. It was originally created at Uppsala University, hence the UU.
QUENAS (QUeued Event Network Automatic Simulator) is a Network Simulator that enables to create a network of nodes and simulate communications between then. Currently, the Hypercube protocol is implemented at network layer.
NS-2 Trace Statistics is a tool for easy generation of summary statistics from Network Simulator trace files, such as: total and network delay, packets generated, sent, received and dropped, run length histograms and MRU stack depth.
Design and implementation of the Observation-based Cooperation Enforcement in Mobile Ad-hoc Networks (OCEAN) protocol, on top of the ns2 network simulator, using Dynamic Source Routing (DSR).
DYMOUM is an implementation of the DYMO (Dynamic Manet On-demand) routing protocol both for Linux kernel and ns2 network simulator, written in C and C++.
NS2 Linux is dedicated to improve the Network Simulator (NS-2) to match Linux performance. Planned contents include: an NS-2 module that runs Linux congestion control functions, tutorials on how to run NS-2 to match Linux performance, benchmark for TCP.
The aim of this project is to have a current implementation of the experimental VFER protocol (http://vfer.sf.net) within the ns-2 network simulator. The design of VFER can then be tweaked using results from this simulation.
SNNSraster is a utility for quick ANN analysis of raster GIS maps with the use of Stuttgart Neural Network Simulator trained network files. It was developed to read and write binary raster files.
SNNSraster is a project of the Geography Laboratory of the University of Siena. The code was developed by Giancarlo Macchi Jánica between 2006 and 2007. SNNSraster's fundamental objective is to improve the ability to integrate the use of artificial neural networks in GIS environments.