W Njima, A Bazzi, M Chafii - IEEE access, 2022 - ieeexplore.ieee.org
Indoor localization techniques based on supervised learning deliver great performance accuracy while maintaining low online complexity. However, such systems require massive …
AS Yaro, F Maly, P Prazak - Sensors, 2023 - mdpi.com
A receive signal strength (RSS) fingerprinting-based indoor wireless localization system (I- WLS) uses a localization machine learning (ML) algorithm to estimate the location of an …
Received signal strength indicator (RSSI)-based fingerprinting is a widely used technique for indoor localization, but these methods suffer from high error rates due to various …
Accurate indoor location information in multi-building/floor environments is essential for establishing many indoor location-based services (LBS). Wi-Fi fingerprinting with received …
The expanding number of low cost sensors and smart devices drives the internet-of-things (IoT) ecosystem of the future. These sensing devices are connected to the internet for …
With the continuous development and improvement in Internet-of-Things (IoT) technology, indoor localization has received considerable attention. Particularly, owing to its unique …
Indoor localization is a key research area and has been stated as a major goal for Sixth Generation (6G) communications. Indoor localization faces many challenges, such as harsh …
Wireless networks have drastically influenced our lifestyle, changing our workplaces and society. Among the variety of wireless technology, Wi-Fi surely plays a leading role …
S Lee, J Park, H Choi, H Oh - Sensors, 2023 - mdpi.com
With the emergence of various Internet of Things (IoT) technologies, energy-saving schemes for IoT devices have been rapidly developed. To enhance the energy efficiency of IoT …