Towards Qualitative Positioning for Pervasive Environments

Author

Anderson, Ian ; Muller, Henk

Author_Institution

Dept. of Comput. Sci., Bristol Univ.

Volume

1

fYear

2005

fDate

21-24 Nov. 2005

Firstpage

724

Lastpage

727

Abstract

In this paper, we present a strategy and set of algorithms for developing qualitative positioning services that are specifically optimised for the environment where they are to be deployed. We argue that for many context-aware applications, this may be more appropriate than more common quantitative location systems, where the positioning API may make unrealistic demands on the underlying measurement service, and unrealistic promises to the application. We show results for an implementation on a shopping street using cellular networks

Keywords

ubiquitous computing; API; context-aware application; location fingerprinting; machine learning; pervasive environment; qualitative positioning service; quantitative location system; wireless network; Calibration; Context modeling; Context-aware services; Fingerprint recognition; Land mobile radio cellular systems; Machine learning; Position measurement; System performance; Ultrasonic variables measurement; Wireless networks; Context-Aware Computing; Location Fingerprinting; Machine Learning; Wireless Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer as a Tool, 2005. EUROCON 2005.The International Conference on

Conference_Location

Belgrade

Print_ISBN

1-4244-0049-X

Type

conf

DOI

10.1109/EURCON.2005.1630033

Filename

1630033