A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectives

Roy, Priya; Chowdhury, Chandreyee

doi:10.1007/s42486-022-00089-3

Cited by 50 publications

(15 citation statements)

References 101 publications

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“…A combination of WiFi and fingerprinting technique can realize higher location accuracy, and pervasive infrastructures can be leveraged to reduce the investment. However, this solution is faced with the problems of excessive energy consumption and potential network congestion [23] . An ultra-wideband (UWB) system using the trilateration technique performs the best in terms of location accuracy as it can attain nearly 10-centimeter error [24] , but what hinders its further application should be the high cost and low scalability.…”

Section: Literature Reviewmentioning

confidence: 99%

Internet of Everything and Digital Twin enabled Service Platform for Cold Chain Logistics

Shen

Zhao

et al. 2023

Journal of Industrial Information Integration

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Section: Literature Reviewmentioning

confidence: 99%

Internet of Everything and Digital Twin enabled Service Platform for Cold Chain Logistics

Shen

Zhao

et al. 2023

Journal of Industrial Information Integration

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“…However, as those systems rely on a single authentication factor, i.e., RSS measurements, it has been shown that they might be susceptible to a number of attacks [46]. Other works focus on a more precise localization [47]- [53]. To improve the performance most of these works rely on complex operations [50]- [53], (e.g.…”

Section: State Of the Art And Beyondmentioning

confidence: 99%

A Physical Layer, Zero-Round-Trip-Time, Multifactor Authentication Protocol

Mitev¹,

Shekiba-Herfeh²,

Chorti³

et al. 2022

IEEE Access

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Lightweight physical layer security schemes that have recently attracted a lot of attention include physical unclonable functions (PUFs), RF fingerprinting / proximity based authentication and secret key generation (SKG) from wireless fading coefficients. In this paper, we propose a fast, privacy-preserving, zero-round-trip-time (0-RTT), multi-factor authentication protocol, that for the first time brings all these elements together, i.e., PUFs, proximity estimation and SKG. We use Kalman filters to extract proximity estimates from real measurements of received signal strength (RSS) in an indoor environment to provide soft fingerprints for node authentication. By leveraging node mobility, a multitude of such fingerprints are extracted to provide resistance to impersonation type of attacks e.g., a false base station. Upon removal of the proximity fingerprints, the residual measurements are then used as an entropy source for the distillation of symmetric keys and subsequently used as resumption secrets in a 0-RTT fast authentication protocol. Both schemes are incorporated in a challenge-response PUF-based mutual authentication protocol, shown to be secure through formal proofs using Burrows, Abadi, and Needham (BAN) and Mao and Boyd (MB) logic, as well as the Tamarin-prover. Our protocol showcases that in future networks purely physical layer security solutions are tangible and can provide an alternative to public key infrastructure in specific scenarios.

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“…WLAN often operates according to the standard IEEE 802.11 at 2.4 GHz within the ISM band and has a range of about 50–100 m; however, the 5 GHz is now widely used for transmission due to less interference, less noise, higher constant connection, and higher speed [ 42 ].…”

Section: Signal Technologiesmentioning

confidence: 99%

An Overview of Indoor Localization System for Human Activity Recognition (HAR) in Healthcare

Bibbò

Carotenuto

Corte

2022

Sensors

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The number of older people needing healthcare is a growing global phenomenon. The assistance in long-term care comprises a complex of medical, nursing, rehabilitation, and social assistance services. The cost is substantial, but technology can help reduce spending by ensuring efficient health services and improving the quality of life. Advances in artificial intelligence, wireless communication systems, and nanotechnology allow the creation of intelligent home care systems avoiding hospitalization with evident cost containment. They are capable of ensuring functions of recognition of activities, monitoring of vital functions, and tracking. However, it is essential to also have information on location in order to be able to promptly intervene in case of unforeseen events or assist people in carrying out activities in order to avoid incorrect behavior. In addition, the automatic detection of physical activities performed by human subjects is identified as human activity recognition (HAR). This work presents an overview of the positioning system as part of an integrated HAR system. Lastly, this study contains each technology’s concepts, features, accuracy, advantages, and limitations. With this work, we want to highlight the relationship between HAR and the indoor positioning system (IPS), which is poorly documented in the literature.

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A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectives

Cited by 50 publications

References 101 publications

Internet of Everything and Digital Twin enabled Service Platform for Cold Chain Logistics

Internet of Everything and Digital Twin enabled Service Platform for Cold Chain Logistics

A Physical Layer, Zero-Round-Trip-Time, Multifactor Authentication Protocol

An Overview of Indoor Localization System for Human Activity Recognition (HAR) in Healthcare

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