Title :
A predictive model for indoor tracking of mobile users
Author :
Mainetto, Giovanni
Author_Institution :
CNR-IIT, Pisa Res. Area, Italy
Abstract :
The main issue addressed in this paper is the definition of a model that allows the prediction of the future positions that mobile users will reach inside a building. The building has a stationary LAN cellular network whose cells are small enough to represent a sufficient approximation of mobile users´ positions. Mobile users can move inside the building following predeclared routes or in a free manner. The stationary network provides the infrastructure for tracking the mobile users and for delivering several kinds of services to them. An effective delivery of these services should be impossible without the knowledge provided from the predictive model described.
Keywords :
Bluetooth; indoor radio; mobile computing; object detection; target tracking; wireless LAN; Bluetooth based devices; LAN; cellular network; distributed systems; indoor tracking; local area network; mobile user position; model definition; position approximation; predictive model; stationary network; user tracking; Base stations; Bluetooth; Computer networks; Context-aware services; Land mobile radio cellular systems; Local area networks; Mobile computing; Predictive models; Space technology; Wireless sensor networks;
Conference_Titel :
Database and Expert Systems Applications, 2003. Proceedings. 14th International Workshop on
Print_ISBN :
0-7695-1993-8
DOI :
10.1109/DEXA.2003.1232139
