A Modeling Framework for Sensor Data in Indoor Location-Based Services

Abstract

The advance of sensor and networking technologies led to the development of many WSN-based context-aware applications. Especially, WSN-based indoor location-based services (LBS) have been studied recently. To understand the sensing data in those context-aware applications, we need to abstract the low-level sensor data into high-level context information to understand the data and transmit/process/store them with low cost. In the manuscript we propose the sensor data modeling framework for beacon-based indoor LBS application. The proposed framework derives the current location, the velocity and the trajectory of the user based on the distance to the indoor beacons. We can adopt the proposed framework to shorten the time and effort to develop indoor LBS application SW.