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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.
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.
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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.
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).
RooCARDS is a set of C++ classes written for the ROOT analysis framework
which interface ROOT to the Stuttgart Neural Network Simulator (SNNS). This
interface is based on a concept originally developed by Professor Yibin Pan
at the UW-Madison.