參考
[1]Grassi G, Pesavento D, Pau G, et al. VANET via named data networking[J]. Proceedings - IEEE INFOCOM, 2014:410-415.
[2]https://github.com/cawka/ndnSIM-nom-rapid-car2car
[3]https://www.cnblogs.com/wsine/p/4979272.html
一.依賴
sudo apt-get install build-essential libsqlite3-dev libcrypto++-dev
sudo apt-get install libboost-all-dev
sudo apt-get install python-dev python-pygraphviz python-kiwi
sudo apt-get install python-pygoocanvas python-gnome2
sudo apt-get install python-rsvg ipython
sudo apt-get install git
二.下載ns-3 ndnSIM
mkdir ndnSIM
cd ndnSIM
git clone git://github.com/cawka/ns-3-dev-ndnSIM.git ns-3
cd ns-3
git checkout -b ndnSIM-0.4.3 ns-3.17-ndnSIM-0.4.3 //使用git會退到論文中相同的版本v0.4.3
cd ..
git clone git://github.com/cawka/pybindgen.git pybindgen
git clone git://github.com/NDN-Routing/ndnSIM.git ns-3/src/ndnSIM
cd ns-3/src/ndnSIM
git checkout -b v0.4.3 v0.4.3//使用git會退到論文中相同的版本v0.4.3
關鍵目錄結構樹如下：
- ndnSIM
* ns-3
* src
* ndnSIM
* pybindgen
三.編譯
CXXFLAGS="-Wall" ./waf configure --boost-libs=/usr/lib/x86_64-linux-gnu -d optimized
./waf -j4
sudo ./waf install
四.編譯論文代碼
cd ndnSIM
git clone https://github.com/cawka/ndnSIM-nom-rapid-car2car.git
cd ndnSIM-nom-rapid-car2car
./waf configure --boost-libs=/usr/lib/x86_64-linux-gnu
./waf
五.安裝R
官網網址：https://www.r-project.org/
選擇Download R
CRAN列表選擇清華大學的鏡像源https://mirrors.tuna.tsinghua.edu.cn/CRAN/
選擇Download R for Linux
選擇ubuntu
選擇trusty
64位系統請選擇 r-base-core_3.4.3-1trusty0_amd64.deb 下載
32位系統請選擇 r-base-core_3.4.3-1trusty0_i386.deb 下載
雙擊安裝
sudo R
install.packages ('proto')
install.packages ('ggplot2')
install.packages ('doBy')
如果遇到依賴問題見http://www.lxweimin.com/p/5ab43800cfdb
六.運行與測試
cd ndnSIM/ndnSIM-nom-rapid-car2car
./run.py -s figure-3-data-propagation-vs-time
./run.py -s figure-4-data-propagation-vs-distance
./run.py -s figure-5-retx-count
