Object identification and localization in indoor and outdoor environments are paramount
issues in object–human interaction. Recent advancements in the data fusion capabilities of …

This paper focuses on the positioning of Wi-Fi nodes in multi-floor indoor environments. A
target radio-frequency (RF) fingerprint–measured by the MS to be localized–is compared …

Wireless indoor positioning system has become one of important components in context-
aware applications over the years. However, there are still some unsolved problems such as …

One of the challenging problems for indoor wireless multifloor positioning systems is the
presence of reference node (RN) failures, which cause the values of received signal …

The task of indoor localization has been carried out with different approaches, which utilize
data integrated from distinct sensors belonging to mobile devices. Floor determination is one …

Indoor positioning system is an active research area. There are various performance metrics
such as accuracy, computation time, precision, and f-score in machine learning based …

One of challenging problems for indoor wireless multi-floor positioning systems is a
presence of Reference Node (RN) failures, which causes the missing of the values of …

The first part of this work introduces a novel machine-learning based location engine aiming
at improving floor identification accuracy in radio frequency (RF) multi-floor indoor …

This paper presents a parsimonious Bayesian indoor wave propagation model for predicting
signal power in multi-wall multi-floor complex indoor environments. The received power is …

Recent advances in communication technologies have great impact on location
determination systems. Location determination systems are deployed in almost every …