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.read more
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
Convergent Communication, Sensing and Localization in 6G Systems: An Overview of Technologies, Opportunities and Challenges
Carlos H. M. de Lima,Didier Belot,Rafael Berkvens,Andre Bourdoux,Davide Dardari,Maxime Guillaud,Minna Isomursu,Elena Simona Lohan,Yang Miao,Andre Noll Barreto,Muhammad Reza Kahar Aziz,Jani Saloranta,Tachporn Sanguanpuak,Hadi Sarieddeen,Gonzalo Seco-Granados,Jaakko Suutala,Tommy Svensson,Mikko Valkama,Barend van Liempd,Henk Wymeersch +19 more
TL;DR: In this article, the authors focus on convergent 6G communication, localization and sensing systems by identifying key technology enablers, discussing their underlying challenges, implementation issues, and recommending potential solutions.
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.
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