Using ZeeBee Sensor Network with artifical neural network for indoor location

Abstract

In recent years, the expanding of wireless technologies has applied to position location and context-aware computing. The position location methods are divided into indoor and outdoor types. GPS (Global Position System) is usually used in outdoor location but it was not applied to indoor environment. In this paper, we will propose a new method using ZigBee to perform indoor location tracking. This method uses the value of LQI (Link Quality Indicator) and neural network for indoor position location. Experiment results indicated our proposed method is useful.