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There is a need for realistic node topologies for simulating and testing wireless network protocols. The softare evoTopo is able to generate multiple different topologies based on a given reference example, typically from a real-world setup. Based on this an evolutionary algorithm evolves new topology files with equal parameters regarding node density, distribution homogeneity and network properties such as node degree distrbution. evoTopo can be used with any wireless network simulator...

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.

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.