Fingerprinting based indoor positioning system is gaining more research interest under the
umbrella of location-based services. However, existing works have certain limitations in …

The heterogeneity of wireless receiving devices, co-channel interference, and multi-path
effect make the received signal strength indication (RSSI) of Wi-Fi fluctuate greatly, which …

Location awareness is crucial for numerous emerging wireless indoor applications. Deep
learning algorithms have demonstrated the potential for achieving the required level of …

Outdoor user equipment (DE) localisation has attracted a significant amount of attention due
to its importance in many location-based services. Typically, in rural and open areas, global …

Indoor positioning systems (IPSs) can offer several benefits in various settings by providing
real-time location data of assets and personnel. However, their widespread adoption is …

For received signal strength (RSS) fingerprint based indoor localization approaches, the
localization accuracy is significantly influenced by the RSS variance, device heterogeneity …

In recent years, location-based services LBS have received extensive attention from
scholars at home and abroad, and how to obtain location information is a very important …

The accurate localisation of multiple objects and people in indoor environments is
challenging. The problem is of immense importance in the context of Internet of Things (IoT) …

This paper aims at solving two major drawbacks of fingerprint-based localization methods:
1) existing fingerprint-based methods mainly rely on the received signal strength indicator …

In indoor environments, estimating localization using a received signal strength indicator
(RSSI) is difficult because of the noise from signals reflected and refracted by walls and …