NS3入门——01安装&测试

sudo apt-get update

sudo apt install gcc g++ python
sudo apt install gcc g++ python python-dev
sudo apt install mercurial
sudo apt install bzr
sudo apt install gdb valgrind
sudo apt install gsl-bin libgsl0-dev libgsl0ldbl
sudo apt install flex bison libfl-dev
sudo apt install g++-3.4 gcc-3.4
sudo apt install tcpdump
sudo apt install sqlite sqlite3 libsqlite3-dev
sudo apt install libxml2 libxml2-dev
sudo apt install libgtk2.0-0 libgtk2.0-dev
sudo apt install vtun lxc
sudo apt install uncrustify
sudo apt install doxygen graphviz imagemagick
sudo apt install texlive texlive-extra-utils texlive-latex-extra
sudo apt install python-sphinx dia
sudo apt install python-pygraphviz python-kiwi python-pygoocanvas libgoocanvas-dev
sudo apt install libboost-signals-dev libboost-filesystem-dev
sudo apt install openmpi*

对上面代码的解释：

#C++和python安装，必装
sudo apt install gcc g++ python
sudo apt install gcc g++ python python-dev
#NS3代码维护使用的源码版本控制管理系统
sudo apt install mercurial
#运行python绑定ns-3-dev需要bazaar这个组件
sudo apt install bzr
#调试工具
sudo apt install gdb valgrind
#支持更多精确WIFI模块的GNU Scientific Library (GSL)
sudo apt install gsl-bin libgsl0-dev libgsl0ldbl
#仿真必需的词法分析器和语法分析生成器，必装
sudo apt install flex bison libfl-dev
#一些Network Simulation Cradle (nsc) stacks需要gcc-3.4
sudo apt install g++-3.4 gcc-3.4
#读取pcap的packet traces，即包嗅探器
sudo apt install tcpdump
#支持统计特性的数据库软件
sudo apt install sqlite sqlite3 libsqlite3-dev
#xml的配置存储软件(requires libxml2 >= version 2.7)
sudo apt install libxml2 libxml2-dev
#基于GTK的配置系统
sudo apt install libgtk2.0-0 libgtk2.0-dev
#在虚拟机and ns-3上测试
sudo apt install vtun lxc
#支持utils/check-style.py 代码风格检查程序
sudo apt install uncrustify
#文档生成器，从源代码中生成说明文档（很大，我没有装）
sudo apt install doxygen graphviz imagemagick
sudo apt install texlive texlive-extra-utils texlive-latex-extra
#The ns-3 manual and tutorial are written in reStructuredText for Sphinx (doc/tutorial, doc/manual, doc/models), and figures typically in dia:
sudo apt install python-sphinx dia
#Note: Sphinx version >= 1.12 required for ns-3.15. To check your version, type “sphinx-build”. To fetch this package alone, outside of the Ubuntu package system, try “sudo easy_install -U Sphinx”.
#Gustavo’s ns-3-pyviz的可视化软件（没装）
sudo apt install python-pygraphviz python-kiwi python- - pygoocanvas libgoocanvas-dev
#支持openflow 模块(requires some boost libraries)
sudo apt install libboost-signals-dev libboost-filesystem-dev
#支持基于 MPI的分布式仿真
sudo apt-get install openmpi*

mkdir NS3    # 我创建的NS3目录的完整路径是/home/lenovo/NS3/，可自行创建在其他目录下。
cd NS3
wget wget https://www.nsnam.org/releases/ns-allinone-3.35.tar.bz2
tar xvf ns-allinone-3.35.tar.bz2

cd ns-allinone-3.35/
sudo ./build.py       #耐心等待。
# 看到'build' finished successfully..... 就表示安装成功


cd ns-3.35/       #注意不是ns-allinone-3.35/
sudo ./waf distclean     #清除整个build目录
sudo ./waf configure --enable-examples --enable-tests     #开启例子及帮助
sudo ./waf build      #耐心等待

sudo ./test.py      #看到一堆PASS就证明安装成功
sudo ./test.py -c core      #看到一堆PASS就证明安装成功

sudo ./waf  --run hello-simulator

会打印如下内容：

reference1
reference2