CAMPUSRSSI: Real-World Wi-Fi RSSI Measurements for Indoor Localization
Received Signal Strength Indicator (RSSI) values from Access Points (APs) are essential in fingerprint-based indoor localization. However, there are few datasets of dense and precise data points due to the labor-intensive collection. We provide CAMPUSRSSI, a dataset of real-world Wi-Fi RSSI measurements collected in university campus buildings. We collect RSSI measurements 1) with every 30 cm granularity; 2) 158 measurements at each reference point on average; 3) under four differently obstructed in-building places; and 4) with the x-y coordinates of APs, floorplans, and obstacle information. The dataset<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> is available at https://github.com/jinyi-yoon/CampusRSSI.git.
Authors
- HyungJune Lee (ORCID: https://orcid.org/0000-0003-4655-4298)
- Jeewoon Kim (ORCID: https://orcid.org/0000-0002-9146-3531)
- JinYi Yoon (ORCID: https://orcid.org/0000-0001-9457-4432)
- Yeawon You
Institutions
- Ewha Womans University (KR)
- Amherst College (US)
- University of California, Irvine (US)
- Virginia Tech (US)
Publication Details
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1109/percomworkshops65533.2025.00167
- Primary Topic
- Indoor and Outdoor Localization Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00