A New WKNN Localization Approach

Location aware applications are constantly under development. By using an Indoor Location System (ILS), a user can localize himself, plan an indoor route and destination, or receive useful information and services in malls, airports, shopping centers, etc. To this purpose, various signal strength or timing based localization methods exist, each one having their own advantages and disadvantages. Localization based on the Received Signal Strength (RSS) methods, typically require only off-theshelf equipment to operate. Moreover, they can utilize the existing infrastructure. This paper presents a new method on how to use the captured RSS values for localization purposes. The proposed method analyses a captured signal over a short distance and stores it into the fingerprint database for later comparison, rather than using an average value obtained from static measurements. Performance of proposed method is compared with a typical RSS-based localization method. Real-world measurements are used in order to validate our approach.