Simulator for Methods of Indoor Localization

SMILe allows analyzing and evaluating arbitrary indoor localization methods based on time measurements. Project is a framework built on top of OMNeT++ and heavily utilizes INET.

Installation

1. Make sure you have C++ compiler supporting C++14 installed on your platform.
2. Install OMNeT++ 5.2 (or newer). After extracting tarball remember to edit file configure.user. Open it and uncomment variable CXXFLAGS and assign it with value -std=c++14.
3. Install INET 3.6.2 (or newer).
4. Install Python 3.6 and required packages (listed in pip's requirements.txt)
5. Checkout SMILe. Important note: Remember to checkout SMILe next to INET.
6. Add path to SMILe's python directory to PYTHONPATH environment variable

Authors

Tomasz Jankowski, MSc

Maciej Nikodem, PhD

SMILe is developed at Wrocław University of Science and Technology.