Context-aware applications are emerging on the daily basis and location information proves to
be one of the key components to develop context-aware applications upon. This stems from the
fact that location information enables and facilitates reasoning about what users are doing (user’s
behavioural patterns) and what users are interested in. Over the years many localization algorithms
have been evolved to determine the location of entities using various technologies. In this paper, a
novel localization technique using the geometrical properties of the building to increase accuracy,
thus eliminating the need for calibration is presented. In addition a privacy-sensitive, location-aware
service architecture called FLAVOUR is proposed, which utilizes the presented localization technique.
FLAVOUR uses existing WLAN infrastructure for cost efficiency, and uniquely incorporates
the location information into Jini service discovery platform. A new method of classifying existing
WLAN localization techniques is introduced and the important evaluation criteria for assessing such
techniques are discussed.
|Name||CTIT Technical Report Series|
- CAES-PS: Pervasive Systems