The next-generation Internet of Things (IoT) systems have an increasingly demand on
intelligent localization which can scale with big data without human perception. Thus …

Despite the great attention that the research community has paid to the creation of novel
indoor positioning methods, a rather limited volume of works has focused on the confidence …

Various methods have been developed for indoor localisation using WLAN signals.
Algorithms that fingerprint the received signal strength indicators (RSSI) of WiFi for different …

In this letter, we propose a novel approach for fusing information from multiple access points
in order to enhance WiFi-based self-localization. A common approach for designing WiFi …

This paper outlines the software navigation engine that was developed by SPIRIT
Navigation for indoor positioning on commercial smartphones. A distinctive feature of our …

The development of the Internet of Things (IoT) relies on completing the ubiquitous
positioning system, but the pedestrian-oriented indoor location-based services (POILBS) …

Wireless Indoor localization systems based on RSSI-values typically consist of an offline
training phase and online position determination phase. During the offline phase, geo …

Location-based services are possibly the most popular services with respect to mobility,
since they allow for the automated filtering of information relevant to the user. This paper …

Geomagnetic (magnetic)/pedestrian dead reckoning (PDR) integrated positioning, used in
smartphone-based indoor positioning of pedestrians, is popular owing to its autonomous …

Based on the complementary advantages of integrated positioning methods, the multisource
integrated positioning technology has become one of the mainstream technologies in the …