BFound: Sensor Enhanced Localization for Internet of Things
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Date Uploaded:
25 November 2022
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Beacons, the backbone of the physical web and location-based services, are widely used to tag objects and places. However, as a beacon's wireless transmission is limited to a ranging technology, the localization information is only available when the beacon is nearby.
In this work, we propose BFound, a navigation and room level localization system that enable users to locate beacons within a building to the room level. The scheme is based on expanding the beacons' capability in two ways. First, the system builds upon crowdsourcing using data from smartphones carried by mobile users and infrastructure beacons to search for facilities within an area and navigate to the target region. Next, we utilize sensors on the beacons to further localize beacons to the room level.
In order to enable room level localization, the beacon's sensors are leveraged to generate a signature unique to the room it belongs. This is achieved using wavelet transform.
Evaluations show that BFound provides sufficient accuracy both for navigation as well as room level localization.
Keywords
Human-centered computing,networks,network types,ubiquitous and mobile computing,cyber-physical networks,sensor networks
