Winiapp goal from respect and ethics point of view  is to freely share the datasets of each experimental measurements for the specific scenarios. Hopefully, these datasets help others in their research and projects.

  • UAV-to-ground LoRa wireless channel parameters including RSSI, SNR, and packet delivery.
    • Download link
    • Please cite the following paper if you use this dataset.
    • H. Aghajari, S. Ahmadinabi, H. B. Babadegani, and M. Naderi Soorki, “Empirical performance analysis and channel modeling of UAV-assisted LoRa networks,” International Conference on Electrical Engineering (ICEE), pp. 463–468, May 2022, Tehran, Iran.
    • URL: https://ieeexplore.ieee.org/abstract/document/9827258
  • Ground-to-ground LoRa wireless channel parameters including RSSI, SNR in non-line of sight, line of sight, and jungle areas.
    • Download link
    • Please cite the following paper if you use this dataset.
    • Hossein Aghajari, Hamed Bakhtiari babadegani, Mehdi Naderi soorki, Sajad Ahmadinabi, Seyed mohsen Ahmadi, “Manifold Learning-Assisted Physical Layer Key Generation for LoRaWAN: an Experimental Study,” International Conference on Electrical Engineering (ICEE), pp. 845-850, May 2023, Tehran, Iran.
      URL: https://ieeexplore.ieee.org/document/10334776
  • Multi-gateway LoRa wireless network  channels parameters including RSSI, SNR, LoRa node GPS locations at campus environment.

    • Download link
    • Please cite the following paper if you use this dataset.
    • H. Aghajari, M. N. Soorki, S. Ahmadinabi, A. Rezazadeh, S. Ranjbaran and M. Nitti, “Multi-Point Channel Charting for Long Range Wireless Networks: an Experimental Study,” IEEE International Mediterranean Conference on Communications and Networking (MeditCom), pp. 399-405, Dubrovnik, Croatia, September  2023.
    • URL: https://ieeexplore.ieee.org/abstract/document/10266632