The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

Addressing the positioning problem of a mobile robot remains challenging to date despite
many years of research. Indoor robot positioning strategies developed in the literature either …

The indoor positioning service is one of the essential services needed in the Internet of
Things ecosystem. Recently, many researchers have focused on the fingerprinting method …

The robot's mobility and intelligence have expanded its application in recent years.
Specifically, indoor tracking is a fundamental function of public service robots in nursing …

In the indoor location field, the quality of received-signal-strength-indicator (RSSI)
fingerprints plays a key role in the performance of indoor location services. However …

Indoor location-based services (LBS) have exhibited large commercial and social values in
smart cities, and urgent demands of which have spurred many localization techniques …

Wi-Fi fingerprinting has been a popular indoor localization due to the widespread layout of
indoor WLAN. However, the signal fluctuations in the complex environments make it difficult …

An important goal of indoor positioning systems is to improve positioning accuracy as well
as reduce power consumption. In this paper, we propose an indoor positioning method …

We propose a novel indoor positioning algorithm based on the received signal strength
(RSS) fingerprint. The proposed algorithm can be divided into three steps, an offline phase …

In wireless sensor networks (WSNs), due to the complex deployment environment, the
sparse expression capability of the same sparse transformation basis may vary greatly in …