Indoor Positioning Platform to Support 5G Location Based Services

Horsmanheimo, Seppo; Lembo, Sergio; Tuomimäki, Lotta; Huilla, Sami; Honkamaa, Petri; Laukkanen, Matti; Kemppi, Paul

doi:10.1109/iccw.2019.8757118

Cited by 26 publications

(31 citation statements)

References 11 publications

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“…As an example of the first architecture (mobile-MEC), Horsmanheimo et al [ 74 ] used MEC to run positioning services. Moreover, this proposal system has been built by using the 5G testbed infrastructure provided by Espoo.…”

Section: Resultsmentioning

confidence: 99%

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Quezada-Gaibor

Torres-Sospedra

Nurmi

et al. 2021

Sensors

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Cloud Computing and Cloud Platforms have become an essential resource for businesses, due to their advanced capabilities, performance, and functionalities. Data redundancy, scalability, and security, are among the key features offered by cloud platforms. Location-Based Services (LBS) often exploit cloud platforms to host positioning and localisation systems. This paper introduces a systematic review of current positioning platforms for GNSS-denied scenarios. We have undertaken a comprehensive analysis of each component of the positioning and localisation systems, including techniques, protocols, standards, and cloud services used in the state-of-the-art deployments. Furthermore, this paper identifies the limitations of existing solutions, outlining shortcomings in areas that are rarely subjected to scrutiny in existing reviews of indoor positioning, such as computing paradigms, privacy, and fault tolerance. We then examine contributions in the areas of efficient computation, interoperability, positioning, and localisation. Finally, we provide a brief discussion concerning the challenges for cloud platforms based on GNSS-denied scenarios.

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Section: Resultsmentioning

confidence: 99%

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Quezada-Gaibor

Torres-Sospedra

Nurmi

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The Global Navigation Satellite System (GNSS) alone cannot effectively provide user positioning in such environments, and other technologies need to be explored. For example, 5G technology offers greater accuracy and, thus, increases the reliability and availability of positioning information compared to current technologies [23]. The Ultra Wide Band (UWB) technology is also an ally to the internal positioning systems, being a low energy consumption solution that offers precision in the centimeter, with a data transfer rate of 27 Mbps and a range from 70 m to 250 m [24].…”

Section: Indoor Positioningmentioning

confidence: 99%

PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments

et al. 2020

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Smart environments are pervasive computing systems that provide higher comfort levels on daily routines throughout interactions among smart sensors and embedded computers. The lack of privacy within these interactions can lead to the exposure of sensitive data. We present PRIPRO (PRIvacy PROfiles), a management tool that includes an Android application that acts on the user’s smartphone by allowing or blocking resources according to the context, in order to address this issue. Back-end web server processes and imposes a protocol according to the conditions that the user selected beforehand. The experimental results show that the proposed solution successfully communicates with the Android Device Administration framework, and the device appropriately reacts to the expected set of permissions imposed according to the user’s profile with low response time and resource usage.

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“…The RF-based IPS working with the Received Signal Strength Indicator (RSSI) has been one of the most popular technologies for decades [ 2 ]. In practice, there are many types of RF-based technologies that can apply to IPS development with RSSI, including Bluetooth Low Energy (BLE), WIFI [ 3 ], ultra-wideband (UWB) [ 4 ], the 5G cellular network [ 5 ], and many others.…”

Section: Introductionmentioning

confidence: 99%

A Practice of BLE RSSI Measurement for Indoor Positioning

Ramirez

Huang

Liao

et al. 2021

Sensors

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Bluetooth Low Energy (BLE) is one of the RF-based technologies that has been utilizing Received Signal Strength Indicators (RSSI) in indoor position location systems (IPS) for decades. Its recent signal stability and propagation distance improvement inspired us to conduct this project. Beacons and scanners used two Bluetooth specifications, BLE 5.0 and 4.2, for experimentations. The measurement paradigm consisted of three segments, RSSI–distance conversion, multi-beacon in-plane, and diverse directional measurement. The analysis methods applied to process the data for precise positioning included the Signal propagation model, Trilateration, Modification coefficient, and Kalman filter. As the experiment results showed, the positioning accuracy could reach 10 cm when the beacons and scanners were at the same horizontal plane in a less-noisy environment. Nevertheless, the positioning accuracy dropped to a meter-scale accuracy when the measurements were executed in a three-dimensional configuration and complex environment. According to the analysis results, the BLE wireless signal strength is susceptible to interference in the manufacturing environment but still workable on certain occasions. In addition, the Bluetooth 5.0 specifications seem more promising in bringing brightness to RTLS applications in the future, due to its higher signal stability and better performance in lower interference environments.

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Indoor Positioning Platform to Support 5G Location Based Services

Cited by 26 publications

References 11 publications

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments

A Practice of BLE RSSI Measurement for Indoor Positioning

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