Indoor Localisation Using a Context-Aware Dynamic Position Tracking Model

Abstract EN

Indoor wireless localisation is a widely sought feature for use in logistics, health, and social networking applications.

Low-powered localisation will become important for the next generation of pervasive media applications that operate on mobile platforms.

We present an inexpensive and robust context-aware tracking system that can track the position of users in an indoor environment, using a wireless smart meter network.

Our context-aware tracking system combines wireless trilateration with a dynamic position tracking model and a probability density map to estimate indoor positions.

The localisation network consisted of power meter nodes placed at known positions in a building.

The power meter nodes are tracked by mobile nodes which are carried by users to localise their position.

We conducted an extensive trial of the context-aware tracking system and performed a comparison analysis with existing localisation techniques.

The context-aware tracking system was able to localise a person's indoor position with an average error of 1.21 m.