Improving BLE Beacon Proximity Estimation Accuracy Through Bayesian Filtering

Mackey, Andrew; Spachos, Petros; Song, Liang; Plataniotis, Konstantinos N.

doi:10.1109/jiot.2020.2965583

Cited by 87 publications

(50 citation statements)

References 38 publications

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“…Based on the RSSI from the neighboring beacons and their ID, the visitor's location on the museum's map is displayed. If a Wi-Fi is available, the accuracy of the localization can be improved with the use of particle filtering [14], while with no Wi-Fi connection, Kalman filtering is running on the application [53].…”

Section: Software Componentsmentioning

confidence: 99%

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum

Spachos

Plataniotis

2020

IEEE Systems Journal

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177

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The Internet of Things (IoT) can enable smart infrastructures to provide advanced services to the users. New technological advancement can improve our everyday life, even simple tasks as a visit to the museum. In this paper, an indoor localization system is presented, to enhance the user experience in a museum. In particular, the proposed system relies on Bluetooth Low Energy (BLE) beacons proximity and localization capabilities to automatically provide the users with cultural contents related to the observed artworks. At the same time, an RSS-based technique is used to estimate the location of the visitor in the museum. An Android application is developed to estimate the distance from the exhibits and collect useful analytics regarding each visit and provide a recommendation to the users. Moreover, the application implements a simple Kalman filter in the smartphone, without the need of the Cloud, to improve localization precision and accuracy. Experimental results on distance estimation, location, and detection accuracy show that BLE beacon is a promising solution for an interactive smart museum. The proposed system has been designed to be easily extensible to the IoT technologies and its effectiveness has been evaluated through experimentation.

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Section: Software Componentsmentioning

confidence: 99%

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum

Spachos

Plataniotis

2020

IEEE Systems Journal

Self Cite

177

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“…Similar to Wi-Fi, the localization methods like proximity [ 63 ], trilateration [ 64 ], and fingerprinting [ 65 ] can be realized using BLE. The tag device can estimate the RSS from a nearby BLE beacon by intercepting the advertisement packets transmitted by the beacons.…”

Section: Wireless Technologies For Ipsmentioning

confidence: 99%

A Survey of Smartphone-Based Indoor Positioning System Using RF-Based Wireless Technologies

Subedi

Pyun

2020

Sensors

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In recent times, social and commercial interests in location-based services (LBS) are significantly increasing due to the rise in smart devices and technologies. The global navigation satellite systems (GNSS) have long been employed for LBS to navigate and determine accurate and reliable location information in outdoor environments. However, the GNSS signals are too weak to penetrate buildings and unable to provide reliable indoor LBS. Hence, GNSS’s incompetence in the indoor environment invites extensive research and development of an indoor positioning system (IPS). Various technologies and techniques have been studied for IPS development. This paper provides an overview of the available smartphone-based indoor localization solutions that rely on radio frequency technologies. As fingerprinting localization is mostly accepted for IPS development owing to its good localization accuracy, we discuss fingerprinting localization in detail. In particular, our analysis is more focused on practical IPS that are realized using a smartphone and Wi-Fi/Bluetooth Low Energy (BLE) as a signal source. Furthermore, we elaborate on the challenges of practical IPS, the available solutions and comprehensive performance comparison, and present some future trends in IPS development.

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“…Radio frequency fingerprinting in support of RSSI measurements was proposed in [16] as a means to enhance the positioning accuracy of Bluetooth. Reference [17] analyzed the performance of Bluetooth beacons in terms of their accuracy in proximity estimation. Three Bayesian filtering techniques to improve the BLE beacon proximity estimation accuracy were analyzed.…”

Section: Proximity Accuracymentioning

confidence: 99%

A Bluetooth-Based Architecture for Contact Tracing in Healthcare Facilities

Marco

Park

Pratesi

et al. 2020

JSAN

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With the latest standard releases, Bluetooth technology is becoming more and more relevant for building and industrial automation. At the same time, Bluetooth is now becoming fundamental for contact tracing applications, to support monitoring and containment of the COVID-19 pandemic. Critical facilities such as nursing homes and hospitals have been severely exposed to the pandemic, but the currently available short-range wireless technology still faces the fundamental limits of proximity accuracy, battery lifetime, and privacy in those complex indoor environments. The aim of this paper is to investigate effective ways of building an architecture with heterogeneous devices to support contact tracing in critical scenarios such as healthcare facilities, while meeting the required level of accuracy and privacy. A framework based on standard Bluetooth mesh networking technology is proposed, and the research challenges are discussed.

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Improving BLE Beacon Proximity Estimation Accuracy Through Bayesian Filtering

Cited by 87 publications

References 38 publications

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum

A Survey of Smartphone-Based Indoor Positioning System Using RF-Based Wireless Technologies

A Bluetooth-Based Architecture for Contact Tracing in Healthcare Facilities

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