# The Network Simulator, Version 3 [![codecov](https://codecov.io/gh/nsnam/ns-3-dev-git/branch/master/graph/badge.svg)](https://codecov.io/gh/nsnam/ns-3-dev-git/branch/master/) [![Gitlab CI](https://gitlab.com/nsnam/ns-3-dev/badges/master/pipeline.svg)](https://gitlab.com/nsnam/ns-3-dev/-/pipelines) [![Github CI](https://github.com/nsnam/ns-3-dev-git/actions/workflows/per_commit.yml/badge.svg)](https://github.com/nsnam/ns-3-dev-git/actions) ## Table of Contents 1) [An overview](#an-open-source-project) 2) [Building ns-3](#building-ns-3) 3) [Running ns-3](#running-ns-3) 4) [Getting access to the ns-3 documentation](#getting-access-to-the-ns-3-documentation) 5) [Working with the development version of ns-3](#working-with-the-development-version-of-ns-3) > **NOTE**: Much more substantial information about ns-3 can be found at ## An Open Source project ns-3 is a free open source project aiming to build a discrete-event network simulator targeted for simulation research and education. This is a collaborative project; we hope that the missing pieces of the models we have not yet implemented will be contributed by the community in an open collaboration process. The process of contributing to the ns-3 project varies with the people involved, the amount of time they can invest and the type of model they want to work on, but the current process that the project tries to follow is described here: This README excerpts some details from a more extensive tutorial that is maintained at: ## Building ns-3 The code for the framework and the default models provided by ns-3 is built as a set of libraries. User simulations are expected to be written as simple programs that make use of these ns-3 libraries. To build the set of default libraries and the example programs included in this package, you need to use the tool 'ns3'. Detailed information on how to use ns3 is included in the file doc/build.txt However, the real quick and dirty way to get started is to type the command ```shell ./ns3 configure --enable-examples ``` followed by ```shell ./ns3 ``` in the directory which contains this README file. The files built will be copied in the build/ directory. The current codebase is expected to build and run on the set of platforms listed in the [release notes](RELEASE_NOTES.md) file. Other platforms may or may not work: we welcome patches to improve the portability of the code to these other platforms. ## Running ns-3 On recent Linux systems, once you have built ns-3 (with examples enabled), it should be easy to run the sample programs with the following command, such as: ```shell ./ns3 run simple-global-routing ``` That program should generate a `simple-global-routing.tr` text trace file and a set of `simple-global-routing-xx-xx.pcap` binary pcap trace files, which can be read by `tcpdump -tt -r filename.pcap` The program source can be found in the examples/routing directory. ## Running ns-3 from python If you do not plan to modify ns-3 upstream modules, you can get a pre-built version of the ns-3 python bindings. ```shell pip install --user ns3 ``` If you do not have `pip`, check their documents on [how to install it](https://pip.pypa.io/en/stable/installation/). After installing the `ns3` package, you can then create your simulation python script. Below is a trivial demo script to get you started. ```python from ns import ns ns.LogComponentEnable("Simulator", ns.LOG_LEVEL_ALL) ns.Simulator.Stop(ns.Seconds(10)) ns.Simulator.Run() ns.Simulator.Destroy() ``` The simulation will take a while to start, while the bindings are loaded. The script above will print the logging messages for the called commands. Use `help(ns)` to check the prototypes for all functions defined in the ns3 namespace. To get more useful results, query specific classes of interest and their functions e.g. `help(ns.Simulator)`. Smart pointers `Ptr<>` can be differentiated from objects by checking if `__deref__` is listed in `dir(variable)`. To dereference the pointer, use `variable.__deref__()`. Most ns-3 simulations are written in C++ and the documentation is oriented towards C++ users. The ns-3 tutorial programs (first.cc, second.cc, etc.) have Python equivalents, if you are looking for some initial guidance on how to use the Python API. The Python API may not be as full-featured as the C++ API, and an API guide for what C++ APIs are supported or not from Python do not currently exist. The project is looking for additional Python maintainers to improve the support for future Python users. ## Getting access to the ns-3 documentation Once you have verified that your build of ns-3 works by running the simple-point-to-point example as outlined in 3) above, it is quite likely that you will want to get started on reading some ns-3 documentation. All of that documentation should always be available from the ns-3 website: . This documentation includes: - a tutorial - a reference manual - models in the ns-3 model library - a wiki for user-contributed tips: - API documentation generated using doxygen: this is a reference manual, most likely not very well suited as introductory text: ## Working with the development version of ns-3 If you want to download and use the development version of ns-3, you need to use the tool `git`. A quick and dirty cheat sheet is included in the manual, but reading through the git tutorials found in the Internet is usually a good idea if you are not familiar with it. If you have successfully installed git, you can get a copy of the development version with the following command: ```shell git clone https://gitlab.com/nsnam/ns-3-dev.git ``` However, we recommend to follow the Gitlab guidelines for starters, that includes creating a Gitlab account, forking the ns-3-dev project under the new account's name, and then cloning the forked repository. You can find more information in the [manual](https://www.nsnam.org/docs/manual/html/working-with-git.html).