Abstract
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 dataset1 is available at https://github.com/jinyi-yoon/CampusRSSI.git.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 697-698 |
| Number of pages | 2 |
| Edition | 2025 |
| ISBN (Electronic) | 9798331535537 |
| DOIs | |
| State | Published - 2025 |
| Event | 23rd IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2025 - Washington, United States Duration: 17 Mar 2025 → 21 Mar 2025 |
Conference
| Conference | 23rd IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2025 |
|---|---|
| Country/Territory | United States |
| City | Washington |
| Period | 17/03/25 → 21/03/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- indoor localization
- real-world testbed
- wi-fi rssi