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Indoor Location Fingerprint Dataset for Multi-Floor Environments

Citation Author(s):
Ikhmal Syahidi Bin Idi Amir (Multimedia University)
Muhammad Zarul Ikhmal Bin Sapian (Multimedia University)
Yin Hoe Ng (Multimedia University)
Chee Keong Tan (Monash University Malaysia)
Submitted by:
Yin Hoe Ng
Last updated:
DOI:
10.21227/mabd-w688
Research Article Link:
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Abstract

An indoor positioning testbed was set up to collect location fingerprint dataset for multi-floor environments and an extensive fingerprint measurement campaign was carried out at the second and third floors of Wing B of the Faculty of Engineering (FOE), Multimedia University, on its campus in Cyberjaya, Malaysia. The total area of the evaluation site is approximately around 1112 m2.

Instructions:

The fingerprint database has 20 attributes, which consists of the measured received signal strength indicators (RSSIs) collected from 16 Bluetooth Low Energy (BLE) beacons, the corresponding floor number and coordinates (x, y, z). To be more specific, z is the relative height of the reference point from the second floor.

Funding Agency
Ministry of Higher Education Malaysia