Towards indoor location estimation and tracking with wireless sensors

To provide valuable services in ubiquitous and pervasive computing, it is necessary to estimate the location of users or objects in the environment. The Global Positioning System (GPS) has supported many applications using outdoor location estimation, but there is still a need for alternative technologies in buildings. Assuming that multiple wireless sensors will be attached to ubiquitous environments, they could also support location estimation and tracking. This paper presents optimizations for an indoor location tracking system using wireless sensors, called LocSens. LocSens works with a minimum number of sensor nodes. It is established and tested in a real indoor scenario over multiple rooms. LocSens could be improved by optimizing algorithms and using more precise sensor boards. Results confirm improved accuracy in location estimation and tracking of moving objects.