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Open AccessJournal ArticleDOI

Improving Indoor Localization Using Bluetooth Low Energy Beacons

TLDR
A distributed system for collecting radio fingerprints by mobile devices with the Android operating system enables volunteers to create radio-maps and update them continuously and focuses on the improvement of its results with the aid of a new Bluetooth Low Energy technology.
Abstract
The paper describes basic principles of a radio-based indoor localization and focuses on the improvement of its results with the aid of a new Bluetooth Low Energy technology. The advantage of this technology lies in its support by contemporary mobile devices, especially by smartphones and tablets. We have implemented a distributed system for collecting radio fingerprints by mobile devices with the Android operating system. This system enables volunteers to create radio-maps and update them continuously. New Bluetooth Low Energy transmitters (Apple uses its “iBeacon” brand name for these devices) have been installed on the floor of the building in addition to existing WiFi access points. The localization of stationary objects based on WiFi, Bluetooth Low Energy, and their combination has been evaluated using the data measured during the experiment in the building. Several configurations of the transmitters’ arrangement, several ways of combination of the data from both technologies, and other parameters influencing the accuracy of the stationary localization have been tested.

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Citations
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Journal ArticleDOI

A Survey of Indoor Localization Systems and Technologies

TL;DR: This paper aims to provide a detailed survey of different indoor localization techniques, such as angle of arrival (AoA), time of flight (ToF), return time ofFlight (RTOF), and received signal strength (RSS) based on technologies that have been proposed in the literature.
Journal ArticleDOI

Evolution of Indoor Positioning Technologies: A Survey

TL;DR: A technological perspective of indoor positioning systems, comprising a wide range of technologies and approaches is provided, and the existing approaches are classified in a structure in order to guide the review and discussion of the different approaches.
Journal ArticleDOI

Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision

TL;DR: The objective of this survey is to serve as an entry point to the various aspects of multi-robot SAR systems to researchers in both the machine learning and control fields by giving a global overview of the main approaches being taken in the SAR robotics area.
Journal ArticleDOI

A Meta-Review of Indoor Positioning Systems.

TL;DR: This paper provides an introduction to IPS and the different technologies, techniques, and some methods commonly employed and serves as a guide for the reader to easily find further details on each technology used in IPS.
Journal ArticleDOI

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

TL;DR: A state-of-the-art survey of indoor positioning and navigation systems and technologies, and their use in various scenarios is presented, which analyses distinct positioning technology metrics such as accuracy, complexity, cost, privacy, scalability and usability.
References
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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.
Journal ArticleDOI

Locating the nodes: cooperative localization in wireless sensor networks

TL;DR: Using the models, the authors have shown the calculation of a Cramer-Rao bound (CRB) on the location estimation precision possible for a given set of measurements in wireless sensor networks.
Proceedings ArticleDOI

SurroundSense: mobile phone localization via ambience fingerprinting

TL;DR: It is argued that the increasing number of sensors on mobile phones presents new opportunities for logical localization, and proposed SurroundSense, a mobile phone based system that explores logical localization via ambience fingerprinting, can achieve an average accuracy of 87% when all sensing modalities are employed.
Proceedings ArticleDOI

Angle of Arrival Localization for Wireless Sensor Networks

TL;DR: A new localization and orientation scheme that considers beacon information multiple hops away is proposed that achieves very good accuracy and precision despite inaccurate angle measurements and a small number of beacons.
Proceedings ArticleDOI

A comparative survey of WLAN location fingerprinting methods

TL;DR: A unified mathematical formulation of radio map database and location estimation is presented, point out the equivalence of some methods from the literature, and present some new variants.
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