Optimisations for LocSens - an indoor location tracking system using wireless sensors
Ubiquitous and pervasive computing envisions context-aware systems that gather real-world information from many fixed and mobile microchips and sensors integrated in everyday objects. To provide valuable services, it is necessary to estimate the location of users or objects. Outdoor location tracking is achieved by Global Positioning System (GPS), but due to its poor indoor coverage, there is a need for alternative technologies in buildings. Since multiple wireless sensors may be situated in the environment, they can be used for location estimation and tracking. This paper presents LocSens, a cost-effective location tracking system based on sensor nodes with wireless connectivity. 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 optimising algorithms and using more precise sensor boards. Results confirm gained accuracy in location estimation and tracking of moving objects.
indoor location tracking pervasive computing ubiquitous computing wireless sensor network indoor location estimation