Fundamental concepts and evolution of Wi-Fi user localization: An overview based on different case studies
G Retscher - Sensors, 2020 - mdpi.com
Indoor positioning poses a number of challenges, especially in large and complex buildings.
Several effects, such as signal attenuation, signal fluctuations, interference, and multipath …
Several effects, such as signal attenuation, signal fluctuations, interference, and multipath …
Fingerprint-based localization approach for WSN using machine learning models
T Alhmiedat - Applied Sciences, 2023 - mdpi.com
The area of localization in wireless sensor networks (WSNs) has received considerable
attention recently, driven by the need to develop an accurate localization system with the …
attention recently, driven by the need to develop an accurate localization system with the …
Experimental assessment of UWB and vision-based car cooperative positioning system
The availability of global navigation satellite systems (GNSS) on consumer devices has
caused a dramatic change in every-day life and human behaviour globally. Although GNSS …
caused a dramatic change in every-day life and human behaviour globally. Although GNSS …
Urban vehicle localization in public LoRaWan network
Location-based services (LBS) such as LoRa geolocation are important aspects of IoT
applications. In this article, we propose a hierarchical clustering-based technique for urban …
applications. In this article, we propose a hierarchical clustering-based technique for urban …
A probabilistic indoor localization system for heterogeneous devices
The extensive deployment of wireless infrastructure provides a low-cost way to track mobile
users in indoor environments. Crowdsourcing has been promoted as an efficient way to …
users in indoor environments. Crowdsourcing has been promoted as an efficient way to …
Practical evaluation of a crowdsourcing indoor localization system using hidden Markov models
The extensive deployment of wireless infrastructure provides a low-cost approach to tracking
of mobile phone users in indoor environments using received signal strength (RSS) …
of mobile phone users in indoor environments using received signal strength (RSS) …
Geometry-based non-line-of-sight error mitigation and localization in wireless communications
J Hua, Y Yin, A Wang, Y Zhang, W Lu - Science China Information …, 2019 - Springer
Recently, positioning services have received considerable attention. The primary source of
the positioning error is non-line-of-sight (NLOS) propagation. To address this problem, we …
the positioning error is non-line-of-sight (NLOS) propagation. To address this problem, we …
Gaussian mixture models for signal mapping and positioning
Maps of RSS from a wireless transmitter can be used for positioning or for planning wireless
infrastructure. The RSS values measured at a single point are not always the same, but …
infrastructure. The RSS values measured at a single point are not always the same, but …
A hidden semi-Markov model for indoor radio source localization using received signal strength
Multipath propagation makes the use of received signal strength (RSS) unreliable as a
signal propagation model for localization of a radio source based on RSS data. An approach …
signal propagation model for localization of a radio source based on RSS data. An approach …
MAIDE: Augmented Reality (AR)-facilitated mobile system for onboarding of internet of things (IoT) devices at ease
Having an efficient onboarding process is a pivotal step to utilize and provision the IoT
devices for accessing the network infrastructure. However, the current process to onboard …
devices for accessing the network infrastructure. However, the current process to onboard …