BLE RSS Measurements Dataset for Research on Accurate Indoor Positioning

摘要

RSS-based indoor positioning is a consolidated research field for which several techniqueshave been proposed. Among them, Bluetooth Low Energy (BLE) beacons are a popular option forpractical applications. This paper presents a new BLE RSS database that was created to aid in thedevelopment of new BLE RSS-based positioning methods and to encourage their reproducibilityand comparability. The measurements were collected in two university zones: an area amongbookshelves in a library and an area of an office space. Each zone had its own batch of deployediBKS 105 beacons, configured to broadcast advertisements every 200 ms. The collection in the libraryzone was performed using three Android smartphones of different brands and models, with beaconsbroadcasting at ?12 dBm transmission power, while in the other zone the collection was performedusing of one those smartphones with beacons configured to advertise at the ?4 dBm, ?12 dBmand ?20 dBm transmission powers. Supporting materials and scripts are provided along withthe database, which annotate the BLE readings, provide details on the collection, the environment,and the BLE beacon deployments, ease the database usage, and introduce the reader to BLE RSS-basedpositioning and its challenges. The BLE RSS database and its supporting materials are available atthe Zenodo repository under the open-source MIT license.