Indoor location-based services have high requirements for positioning accuracy. Fingerprint positioning methods are popular, where Received Signal Strength (RSS) of WiFi is widely used because of its availability. Our dataset is from the dataset provided in the literature [1]. The WiFi measurements were collected in an area among the bookshelves in a wing of a university’s library building. The collection process was finished with a Samsung Galaxy S3 smartphone and software explicitly developed, and a total of 448 Access Points (APs) were detected during the experiment.

Dataset Files

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[1] Jieni Zhang, "WiFi Fingerprinting Dataset for IP-TAG", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/fp3p-bf42. Accessed: Jul. 18, 2024.
@data{fp3p-bf42-23,
doi = {10.21227/fp3p-bf42},
url = {http://dx.doi.org/10.21227/fp3p-bf42},
author = {Jieni Zhang },
publisher = {IEEE Dataport},
title = {WiFi Fingerprinting Dataset for IP-TAG},
year = {2023} }
TY - DATA
T1 - WiFi Fingerprinting Dataset for IP-TAG
AU - Jieni Zhang
PY - 2023
PB - IEEE Dataport
UR - 10.21227/fp3p-bf42
ER -
Jieni Zhang. (2023). WiFi Fingerprinting Dataset for IP-TAG. IEEE Dataport. http://dx.doi.org/10.21227/fp3p-bf42
Jieni Zhang, 2023. WiFi Fingerprinting Dataset for IP-TAG. Available at: http://dx.doi.org/10.21227/fp3p-bf42.
Jieni Zhang. (2023). "WiFi Fingerprinting Dataset for IP-TAG." Web.
1. Jieni Zhang. WiFi Fingerprinting Dataset for IP-TAG [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/fp3p-bf42
Jieni Zhang. "WiFi Fingerprinting Dataset for IP-TAG." doi: 10.21227/fp3p-bf42