A novel Received Signal Strength (RSS) rank based fingerprinting algorithm for indoor
positioning is presented. Because RSS rank is invariant to bias and scaling, the algorithm …

While a vast number of location-based services appeared lately, indoor positioning solutions
are developed to provide reliable position information in environments where traditionally …

Despite the enormous technical progress seen in the past few years, the maturity of indoor
localization technologies has not yet reached the level of GNSS solutions. The 23 selected …

Location fingerprinting is a technique that records vectors of received signal strength (RSS)
from several transmitters at some reference points (RPs) into a database, and later matches …

Fingerprint database clustering and localization using k‐medoids and k‐nearest neighbour
(k‐NN) algorithms respectively typically use distance‐based fingerprint similarity metrics …

Non-satellite-based technologies are important for indoor localization due to the difficulties
that satellite-based technologies such as the Global Positioning System (GPS) experience …

In recent times smart devices have attracted a large number of users. Since many of these
devices allow position estimation using Global Navigation Satellite Systems (GNSS) signals …

Positioning capabilities have become essential in context-aware user services, which make
easier daily activities and let the emergence of new business models in the trendy area of …

In this paper, we present the implementation of a new indoor localization system. We studied
the behavior of the Received Signal Strength Indication (RSSI) for different configurations …

In the recent time indoor positioning becomes an extremely hot topic between researchers
worldwide. This is mainly because of lack of available positioning solutions in the indoor …