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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. ...

...At the WiMAX Forum Plenary Meeting at Hawaii (January 30 - February 2, 2007), the decision to merge the independent development efforts supported by Application Architecture Task Group (AATG), WiMAX Forum and NIST was taken. In 2009 the source code was made available to public though the website http://community.4gdeveloper.com/ and is moved from Google code to sourceforge gain a broader attention. Credit is given to everybody who contributed to this software module, especially the development teams at the National Institute of Standards and Technology (NIST), Rensselaer Polytechnic Institute (RPI) and Washington University in St. ...

...Such tool is needed because a research simulation may generate a trace file with thousands of lines, becoming dificult to analyze manually. Due to this, this tool can be handy in case someone needs a metric that the tool already support. TraceMetrics is an opensource tool, developed in Java and the code can be found here. We encourage the users to report any bugs found in the tool, mailing us at tracemetrics (at) tracemetrics.net

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.

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.

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.