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. The 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.

Keywords

Computer scienceRSSBluetoothScalabilityLocation awarenessIndoor positioning systemWirelessLocation-based serviceHybrid positioning systemAngle of arrivalBluetooth Low EnergyReal-time computingIdentification (biology)Radio-frequency identificationUltra-widebandSignal strengthTelecommunicationsPositioning systemComputer securityEngineeringNode (physics)Accelerometer

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Publication Info

Year
2019
Type
article
Volume
21
Issue
3
Pages
2568-2599
Citations
2168
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

2168
OpenAlex
125
Influential
1908
CrossRef

Cite This

Faheem Zafari, Athanasios Gkelias, Kin K. Leung (2019). A Survey of Indoor Localization Systems and Technologies. IEEE Communications Surveys & Tutorials , 21 (3) , 2568-2599. https://doi.org/10.1109/comst.2019.2911558

Identifiers

DOI
10.1109/comst.2019.2911558
arXiv
1709.01015

Data Quality

Data completeness: 88%