Open Source Mac Network Simulators - Page 2

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.

How can we analyze the water quality of a river? How can we monitor streets, cities, provinces of a country? How can we predict and prevent problems coming from earthquakes, snowstorms, fire spreads and all kinds of natural disasters? How can we test some new drugs without using animals? These and many other problems are initially solved by using simulators. It is extremely expensive, and sometimes dangerous, to test initial ideas in a real environment. We must use simulators to achieve comfortable confidence levels before real tests. This way, we develop simulation models where entities, named sensors, collect environment data, process data, communicate, move around the space and a lot more. JSensor is a sensor network simulator implemented at Computer Science Department of Federal University of Ouro Preto (DECOM-UFOP), Brazil. In contrast to JSensor counterparts, it is designed to simulate millions of sensors in multicore and, in near future, multicomputer architectures.

An educational network simulator.

This is a network simulator. This is meant to be user friendly as well as feature rich. This field lacks software with good user interface. Even the commercial softwares in this field is quite lame. This aimed to go along Multisim(R) and Blender(R) form

Liowsn (Linux for works with WSN) was created to assist teachers, students and people involved with projects of Wireless Sensor Network (WSN). The operating system is Ubuntu 9.10 remastered and it contains several tools for simulation and testing installed to work with WSN. Discussion Group: http://groups.google.com/group/liowsn-users User manual: https://dl.dropbox.com/u/4912938/LiowsnManual_EN.pdf (English Version) https://dl.dropbox.com/u/4912938/LiowsnManual_PT.pdf (Portuguese Version)

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.

Network Controlled Systems (NCS) and transport co-design for network simulator NS2.

The NS-Mapper ad-hoc scenario editor is improved and extended by adding more realistic strategies, such as random based node placement, movement and traffic to the ad-hoc simulation of the Network Simulator 2 (NS-2).

This projects goal is to develop a WiMAX module for the NS-MIRACLE library for the network simulator NS-2.

QoE Monitor is an open-source software module for Network Simulator 3 (NS-3), usable to perform Quality-of-Experience (QoE) evaluations of multimedia communications in simulative networks. More in detail, it is able to assess the user perceived quality of audio and/or video multimedia streams. Its design has been inspired by EvalVid (link to http://www.tkn.tu-berlin.de/menue/research/evalvid/). QoE Monitor is currently developed by the Networking Research group of University of Modena and Reggio Emilia (http://www.unimore.it/). List of currently available features: - PSNR/SSIM computation for H.264 video transmission - G.711 audio transmission - Basic RTP emulation - Receiver side jitter estimation, according to RFC 3550 To do: - support new audio and video codecs - support new audio and video formats - develop objective audio evaluation metric(s) Update 02/27/2013: The latest archive has been updated to include some new features.

The goal of the Narses project is to build a scalable, application-level network simulator that allows experimenters to use network models of varying degrees of accuracy and speed to efficiently simulate large distributed applications.

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.

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.

This is a application for simula Neuronals Networks, now only support the Backpropagation Network. In the future maybe support ART, Adaline, Madaline, and other Neuronal Networks. Use gnuplot to draw the lms error.

NsGraph is a graphic user interface for modelling and automated generation of scripts for Network Simulator.

tlearn is a backpropagation neural network simulator, written by Jeff Elman. xtlearn is a version of tlearn for the X Window System. OSXtlearn is xtlearn wrapped in a MacOSX application bundle that runs ons MacOSX 10.5 or higher and that requires XQuartz. OSXtlearn is created by Harm Brouwer.

Main source code is moved at https://github.com/jpahullo/planetsim. We recommend authors of contributions sections to move your code to github. Since then, contributions remain here for your use at will. PlanetSim is an object oriented simulation framework for overlay networks and services. This framework presents a layered and modular architecture with well defined hotspots documented using classical design patterns.

The NCTUns is a network simulator and emulator. Each version adheres to only a selected GNU/Linux distribution of fedora (The latest NCTUns 6.0 adhering to fedora 12). We try to port the latest NCTUns 6.0 to Ubuntu 10.04 or later versions.

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.

A wireless push-type network simulator that considers locality of demand for performance improvement. The network environment consists of multiple directed emitters for parallel data broadcasting. Performance depends on the mean response time of clients.

A modern and usable interface for the well known neuronal network simulator SNNS. The GUI acts as a client to serveral servers embedding SNNS and supports team work aspects.

ROOTSNNS is a set of C++ classes which allows one to use the Stuttgart Neural Network Simulator kernel (ansi-C) within the ROOT, a data analysis package. Multiple ANNs can be built, trained, and tested, while results and ANN performance can be saved.

SGsim is a co-simulation framework consists mainly of the network simulator OMNeT++ and the power grid simulator OpenDSS. Related Publications: Abdalkarim Awad, Peter Bazan and Reinhard German, " A Short Tutorial On Using SGsim Framework For Smart Grid Applications" Proceedings of the 10th EAI on Performance Evaluation Methodologies and Tools 2016, Taormina, Italy, pp.1-6, October 2016 Abdalkarim Awad, Peter Bazan and Reinhard German, " Co-Simulation-Based Evaluation of Volt-VAR Control," IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Ljubljana, Slovenia, pp. 1-6, October 2016 Abdalkarim Awad, Peter Bazan and Reinhard German, "SGsim: Co-Simulation Framework for ICT-Enabled Power Distribution Grids," (MMB & DFT 2016), Münster, Germany, pp. 5-8, April 2016 Abdalkarim Awad, Peter Bazan and Reinhard German, "SGsim: a Simulation Framework for Smart Grid Applications," Proceedings of the IEEE International Energy Conference (ENERGYCON 2014), Dubrovnik, Croatia.

SW2SPA is an educational simulator with animation for network protocols that allow reliable data transfer, specifically developed for the stop and wait protocols, go-back-N and selective repeat. The aim of SW2PSA is to be used as a tool to support the animation of this protocols in a course like data networks, communication protocols or other related, and to include in the course a project that involves the programming of any of these protocols using a very known language as Java. Since it is an open source program also helps the student who wishes to know the structure of a simple discrete event network simulator.

Improved Network Energy Conserving Algorithm based Sensor Network Simulator. The algorithm derives from LEACH and gives better performance.