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Open AccessJournal ArticleDOI

A Survey of Indoor Localization Systems and Technologies

TLDR
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.
Abstract
Indoor localization has recently witnessed an increase in interest, due to the potential wide range of services it can provide by leveraging Internet of Things (IoT), and ubiquitous connectivity. Different techniques, wireless technologies and mechanisms have been proposed in the literature to provide indoor localization services in order to improve the services provided to the users. However, there is a lack of an up-to-date survey paper that incorporates some of the recently proposed accurate and reliable localization systems. In this paper, we aim to provide a detailed survey of different indoor localization techniques, such as angle of arrival (AoA), time of flight (ToF), return time of flight (RTOF), and received signal strength (RSS); based on technologies, such as WiFi, radio frequency identification device (RFID), ultra wideband (UWB), Bluetooth, and systems that have been proposed in the literature. This paper primarily discusses localization and positioning of human users and their devices. We highlight the strengths of the existing systems proposed in the literature. In contrast with the existing surveys, we also evaluate different systems from the perspective of energy efficiency, availability, cost, reception range, latency, scalability, and tracking accuracy. Rather than comparing the technologies or techniques, we compare the localization systems and summarize their working principle. We also discuss remaining challenges to accurate indoor localization.

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Citations
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Journal ArticleDOI

RSSI-Based Indoor Localization With the Internet of Things

TL;DR: Four wireless technologies for indoor localization: Wi-Fi (IEEE 802.11n-2009 at the 2.4 GHz band), Bluetooth low energy, Zigbee, and long-range wide-area network are compared in terms of localization accuracy and power consumption when IoT devices are used.
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 Review of Indoor Localization Techniques and Wireless Technologies

TL;DR: Comparisons between indoor localization systems in terms of accuracy, cost, advantages, and disadvantages are summarized and different detection techniques are presented.
Proceedings ArticleDOI

CNN based Indoor Localization using RSS Time-Series

TL;DR: A convolutional neural network (CNN) based approach for indoor localization using RSS time-series from wireless local area network (WLAN) access points to reduce the noise and randomness present in separate RSS values and hence improve the localization accuracy.
References
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The Internet of Things: A survey

TL;DR: This survey is directed to those who want to approach this complex discipline and contribute to its development, and finds that still major issues shall be faced by the research community.
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Multiple emitter location and signal parameter estimation

TL;DR: In this article, a description of the multiple signal classification (MUSIC) algorithm, which provides asymptotically unbiased estimates of 1) number of incident wavefronts present; 2) directions of arrival (DOA) (or emitter locations); 3) strengths and cross correlations among the incident waveforms; 4) noise/interference strength.
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A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

TL;DR: Both optimal and suboptimal Bayesian algorithms for nonlinear/non-Gaussian tracking problems, with a focus on particle filters are reviewed.
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.
Journal ArticleDOI

The internet of things: a survey

TL;DR: The definitions, architecture, fundamental technologies, and applications of IoT are systematically reviewed and the major challenges which need addressing by the research community and corresponding potential solutions are investigated.
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