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.

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Publication Details

Published
2025-03-17
DOI
https://doi.org/10.1109/percomworkshops65533.2025.00167
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
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article

CAMPUSRSSI: Real-World Wi-Fi RSSI Measurements for Indoor Localization

HyungJune Lee, Jeewoon Kim, JinYi Yoon, Yeawon You
Indoor and Outdoor Localization Technologies
article

CAMPUSRSSI: Real-World Wi-Fi RSSI Measurements for Indoor Localization

HyungJune Lee, Jeewoon Kim, JinYi Yoon, Yeawon You
article en

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 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.

Ewha Womans University (KR), Amherst College (US), University of California, Irvine (US), Virginia Tech (US)
Openalex Percentile: Top 88%
Indoor and Outdoor Localization Technologies
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