A predictive model for indoor tracking of mobile users

Author

Mainetto, Giovanni

Author_Institution

CNR-IIT, Pisa Res. Area, Italy

fYear

2003

fDate

1-5 Sept. 2003

Firstpage

921

Lastpage

925

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Applications, 2003. Proceedings. 14th International Workshop on

ISSN

1529-4188

Print_ISBN

0-7695-1993-8

Type

conf

DOI

10.1109/DEXA.2003.1232139

Filename

1232139