  Location tracking systems are increasingly becoming the focus of research in
the field of Wireless Sensor Network (WSN). Received Signal Strength
(RSS)-based localization systems are at the forefront of tracking research
applications. Radio location fingerprinting is one of the most promising indoor
positioning approaches due to its powerful in terms of accuracy and cost.
However, fingerprinting systems require the collection of a large number of
reference points in the tracking area to achieve reasonable localization
accuracy. In this paper, we propose a fingerprinting localization approach
based on a RSS technique. The proposed system does not require gathering a
large number of reference points and offers good localization accuracy indoors.
The implemented approach is based on dividing the tracking area into subareas
and assigning a unique feature to each subarea through ranging the RSS values
from different reference points. In order to test the proposed system's
efficiency, a number of real experiments have been conducted using Jennic
sensor nodes.
