Journal ArticleDOI
Location Fingerprinting With Bluetooth Low Energy Beacons
Ramsey Faragher,Robert Harle +1 more
TLDR
This work provides a detailed study of BLE fingerprinting using 19 beacons distributed around a ~600 m2 testbed to position a consumer device, and investigates the choice of key parameters in a BLE positioning system, including beacon density, transmit power, and transmit frequency.Abstract:
The complexity of indoor radio propagation has resulted in location-awareness being derived from empirical fingerprinting techniques, where positioning is performed via a previously-constructed radio map, usually of WiFi signals. The recent introduction of the Bluetooth Low Energy (BLE) radio protocol provides new opportunities for indoor location. It supports portable battery-powered beacons that can be easily distributed at low cost, giving it distinct advantages over WiFi. However, its differing use of the radio band brings new challenges too. In this work, we provide a detailed study of BLE fingerprinting using 19 beacons distributed around a $\sim\! 600\ \mbox{m}^2$ testbed to position a consumer device. We demonstrate the high susceptibility of BLE to fast fading, show how to mitigate this, and quantify the true power cost of continuous BLE scanning. We further investigate the choice of key parameters in a BLE positioning system, including beacon density, transmit power, and transmit frequency. We also provide quantitative comparison with WiFi fingerprinting. Our results show advantages to the use of BLE beacons for positioning. For one-shot (push-to-fix) positioning we achieve $30\ \mbox{m}^2$ ), compared to $100\ \mbox{m}^2$ ) and < 8.5 m for an established WiFi network in the same area.read more
Citations
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Journal ArticleDOI
Smartphone-Based Localization for Passengers Commuting in Traffic Hubs
TL;DR: In this article , the authors used the accelerometer, gyroscope and barometer embedded in the smartphone to detect the steps and the direction of movement of the passenger and achieved a 3D position accuracy of 12 m for a smartphone held in the hand and 10 m when placed in the front pocket of the trousers.
Proceedings ArticleDOI
WiFi Based Distance Estimation Using Supervised Machine Learning
TL;DR: This research examined data collected from 13 different open datasets to provide a broad representation aiming for general model that can be used in any indoor environment to improve the estimation of geospatial distance between fingerprints.
Book ChapterDOI
Mapping the Radio World to Find Us
TL;DR: This chapter guides the reader through a popular indoor positioning technique, fingerprinting, which relies on existing infrastructure to provide an estimation of the user’s location.
Journal Article
Android Based Mobile Phones Regulating Our Health Issues
TL;DR: An android based mobile data acquisition solution have been enriched which collects personalized health information of the end-user, store analyze and visualize it on the smart device and is sent to the datacenter for further processing.
Journal ArticleDOI
Collaborative Indoor Positioning by Localization Comparison at an Encounter Position
TL;DR: In this article , a collaborative indoor positioning method is proposed to reduce error accumulation in indoor positioning, where estimated positions are corrected using the collaborator's positions when an encounter is detected by communication based on Bluetooth Low Energy (BLE).
References
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Journal ArticleDOI
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Proceedings ArticleDOI
The Horus WLAN location determination system
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Journal ArticleDOI
A Survey of Indoor Inertial Positioning Systems for Pedestrians
TL;DR: It is concluded that PDR techniques alone can offer good short- to medium- term tracking under certain circumstances, but that regular absolute position fixes from partner systems will be needed to ensure long-term operation and to cope with unexpected behaviours.
Enhancements to the RADAR User Location and Tracking System
TL;DR: This paper analyzes shortcomings of the basic system, develops and evaluates solutions to address these shortcomings, and describes several new enhancements, including a novel access point-based environmental profiling scheme, and a Viterbi-like algorithm for continuous user tracking and disambiguation of candidate user locations.
Network Time Protocol Version 4: Protocol and Algorithms Specification
TL;DR: NTP version 4 (NTPv4), which is backwards compatible with NTP version 3 (N TPv3), described in RFC 1305, as well as previous versions of the protocol, are described.
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