The integration of various fingerprints could intuitively improve localization accuracy in
indoor localization systems; however, the limitation of applying various fingerprints in …

With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …

This work aims at proposing a transfer learning (TL)-based framework to enhance system
scalability of fingerprint-based indoor localization by reducing offline training overhead …

With the popularity of wireless networks and smart devices, indoor localization gets
developed rapidly. The location-based information services have attracted more and more …

Indoor localization is becoming critical to empower Internet of Things for various
applications, such as asset tracking, autonomous parking, virtual reality, context awareness …

With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …

Recently, machine learning (ML) has been widely adopted for fingerprint-based indoor
localization because of its potency in delineating relationships between received signal …

This paper proposes a fingerprint-based indoor localization method, named FPFE
(fingerprint feature extraction), to locate a target device (TD) whose location is unknown …

Indoor localization based on received signal strength (RSS) has attracted considerable
attention in both academia and industry due to the wide deployment of wireless local area …

Wireless local area network fingerprint-based indoor localization schemes have been widely
studied because of the increasing requirements of location-based services (LBSs). The …