Wi-Fi RSSI Dataset for Fingerprint-based Localization

This dataset can be used for fingerprint-based localization, and contains 250 locations. 27 Wi-Fi access points have been detected in the test environment and the RSS values have been recorded at those locations. Each file in the RSS folder corresponds to a file in xyz folder. The xyz folder shows the coordinates where the z value is set to zero because we measured the RSS values at a fixed height.

More descriptions for this dataset can be found at this paper entitled "A real-time fingerprint-based indoor positioning using deep learning and preceding states"

Citation

Please cite the following articles if you find this dataset helpful for your research.

@ARTICLE{Nabati2023,
  author={Nabati, Mohammad and Ghorashi, Seyed Ali},
  journal={Expert Systems with Applications}, 
  title={A real-time fingerprint-based indoor positioning using deep learning and preceding states}, 
  year={2023}
  volume={213},
  pages={118889},
  doi={https://doi.org/10.1016/j.eswa.2022.118889}}

@ARTICLE{Nabati2021,
  author={Nabati, Mohammad and Ghorashi, Seyed Ali and Shahbazian, Reza},
  journal={IEEE Communications Letters}, 
  title={Joint Coordinate Optimization in Fingerprint-Based Indoor Positioning}, 
  year={2021},
  volume={25},
  number={4},
  pages={1192-1195},
  doi={10.1109/LCOMM.2020.3047352}}