This paper provides an overview of the most significant existing methods for indoor
positioning on a contemporary smartphone. The approaches include Wi-Fi and Bluetooth …

In the age of automation the ability to navigate persons and devices in indoor environments
has become increasingly important for a rising number of applications. With the emergence …

One of many advantages of the cloud is the elasticity, the ability to dynamically acquire or
release computing resources in response to demand. However, this elasticity is only …

Indoor localization is a key enabler for pervasive computing and network optimization.
Wireless local area network (WLAN) positioning systems typically rely on fingerprints of …

This research focuses on sensing context, modeling human behavior and developing a new
architecture for a cognitive phone platform. We combine the latest positioning technologies …

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 …

Received signal strength (RSS) fingerprinting is an attractive solution for indoor positioning
using Wireless Local Area Network (WLAN) due to the wide availability of WLAN access …

Various methods have been developed for indoor localization using WLAN signals.
Algorithms that fingerprint the Received Signal Strength Indication (RSSI) of WiFi for different …

Various classifiers for scent classification based on measurements using an electronic nose
(eNose) have been studied recently. In general, classifiers rely on a static database …

A Bayesian method for dynamical off-line estimation of the position and path loss model
parameters of a WLAN access point is presented. Two versions of three different on-line …