Location-based services are now playing an integral role in the development of emerging
industries, such as the Internet of Things, artificial intelligence and smart cities. Although …

The community of indoor positioning research has identified the need for a paradigm shift
towards more reproducible and open research dissemination. Despite recent efforts to …

Abstract Bluetooth Low Energy (BLE) is a widely used technology to accomplish the
essential task of indoor localization. Hundreds of studies, with many techniques …

Extant indoor positioning techniques based on received signal strength (RSS) fingerprinting
have achieved accurate positioning results. They leverage existing open-source datasets for …

Recent studies on indoor positioning using Wi-Fi fingerprinting are motivated by the ubiquity
of Wi-Fi networks and their promising positioning accuracy. Machine learning algorithms are …

Indoor positioning is crucial for everyday life, and received signal strength-based fingerprint
localization is the most effective method. However, updating the fingerprint database is …

Given the growing importance of Location-Based Services (LBS) in the broader Internet of
Things (IoT) context, efficient and optimized location algorithms are essential. To address …

Abstract Banyak teknik Indoor Positioning System telah dikembangkan untuk meningkatkan
estimasi posisi, seperti multilaterasi, trilaterasi, estimasi kuadrat terkecil dan penerapan …

Wi-Fi fingerprinting has emerged as the most pop-ular approach to indoor localization
because it does not require deployment of new infrastructure or the modification of existing …

Radio map or radio coverage prediction in indoor and outdoor remains a challenge of great
interest due to the large number of applications it allows. Many techniques such as data …