A taxonomy for radio location fingerprinting

  • Authors:
  • Mikkel Baun Kjærgaard

  • Affiliations:
  • Department of Computer Science, University of Aarhus, Aarhus N, Denmark

  • Venue:
  • LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
  • Year:
  • 2007

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Abstract

Location Fingerprinting (LF) is a promising location technique for many awareness applications in pervasive computing. However, as research on LF systems goes beyond basic methods there is an increasing need for better comparison of proposed LF systems. Developers of LF systems are also lacking good frameworks for understanding different options when building LF systems. This paper proposes a taxonomy to address both of these problems. The proposed taxonomy has been constructed from a literature study of 51 papers and articles about LF. For researchers the taxonomy can also be used as an aid when scoping out future research in the area of LF.