Recently, various novel scenarios have been studied for indoor localization. The trilateration
is known as a classic theoretical model of geometric-based indoor localization, with uniform …

The pace of society development is faster than ever before, and the smart city paradigm has
also emerged, which aims to enable citizens to live in more sustainable cities that guarantee …

Indoor localization techniques based on supervised learning deliver great performance
accuracy while maintaining low online complexity. However, such systems require massive …

Abstract Several Wireless Fidelity (WiFi) fingerprint datasets based on Received Signal
Strength (RSS) have been shared for indoor localization. However, they can't meet all the …

Location-based services have permeated Smart academic institutions, enhancing the quality
of higher education. Position information of people and objects can predict different potential …

This work makes multiple scientific contributions to the field of Indoor Localization for
Ambient Assisted Living in Smart Homes. First, it presents a Big-Data driven methodology …

Indoor localization (IL) is a significant topic of study with several practical applications,
particularly in the context of the Internet of Things (IoT) and smart cities. The area of IL has …

Indoor localization algorithms based on the received signal strength indicator (RSSI) in
wireless sensor networks (WSNs) have higher localization accuracy than other range-free …

This paper presents a multifunctional interdisciplinary framework that makes four scientific
contributions towards the development of personalized ambient assisted living (AAL), with a …

Wireless Local Area Network (WLAN) positioning is a challenging task indoors due to
environmental constraints and the unpredictable behavior of signal propagation, even at a …