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Proceedings ArticleDOI

Experiments on local positioning with Bluetooth

TLDR
The design and implementation of the Bluetooth local positioning application based on received power levels, which is converted to distance estimates according to a simple propagation model, and the extended Kalman filter computes a 3D position estimate on the basis of distance estimates.
Abstract
This paper presents the design and implementation of the Bluetooth local positioning application. Positioning is based on received power levels, which are converted to distance estimates according to a simple propagation model. The extended Kalman filter computes a 3D position estimate on the basis of distance estimates. With the used Bluetooth hardware, the mean absolute error of positioning was measured to be 3.76 m. The accuracy can be improved if Bluetooth devices are able to measure received power levels more precisely.

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Citations
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Journal ArticleDOI

Survey of Wireless Indoor Positioning Techniques and Systems

TL;DR: Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.
Proceedings ArticleDOI

Bluetooth and WAP push based location-aware mobile advertising system

TL;DR: Experimental results show that the B-MAD system provides a viable solution for realizing permission-based mobile advertising and a thorough quantitative evaluation of the system in a laboratory environment and qualitative user evaluation in form of a field trial.
Journal ArticleDOI

Robustness, Security and Privacy in Location-Based Services for Future IoT: A Survey

TL;DR: This survey paper addresses a broad range of security and privacy aspects in IoT-based positioning and localization from both technical and legal points of view and aims to give insight and recommendations for future IoT systems providing more robust, secure, and privacy-preserving location-based services.
Journal ArticleDOI

Face-to-Face Proximity Estimation Using Bluetooth On Smartphones

TL;DR: This paper proposes a proximity estimation model to determine the distance based on the RSSI values of Bluetooth and light sensor data in different environments and demonstrates the efficacy of Bluetooth for this exact purpose through experimental studies.
Journal ArticleDOI

Indoor Positioning Algorithm Based on the Improved RSSI Distance Model.

TL;DR: An RSSI real-time correction method based on Bluetooth gateway which is used to detect the RSSI fluctuations of surrounding Bluetooth nodes and upload them to the cloud server and shows that the proposed method has better positioning accuracy than the traditional method.
References
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Proceedings ArticleDOI

RADAR: an in-building RF-based user location and tracking system

TL;DR: RADAR is presented, a radio-frequency (RF)-based system for locating and tracking users inside buildings that combines empirical measurements with signal propagation modeling to determine user location and thereby enable location-aware services and applications.
Book

introduction to random signals and applied kalman filtering

TL;DR: In this paper, the Discrete Kalman Filter (DFL) is used for smoothing and prediction linearization in the Global Positioning System (GPS) and a case study is presented.
Book

Bluetooth: Connect Without Cables

TL;DR: This book is intended as an introduction to Bluetooth technology for professionals in the computing and telecommunications industries.
Proceedings ArticleDOI

Comparison of methods of locating and tracking cellular mobiles

TL;DR: In this article, a comparison of some of the current techniques used for mobile location in a cellular system is presented, highlighting the problem of multipath fading in providing accurate estimations of time and angle of arrival.
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