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Indoor localisation using a context-aware dynamic position tracking model

Journal Article


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Abstract


  • Indoor wireless localisation is a widely sought feature for use in logistics, health, and social networking applications. Low-powered localisation will become important for the next generation of pervasive media applications that operate on mobile platforms. We present an inexpensive and robust context-aware tracking system that can track the position of users in an indoor environment, using a wireless smart meter network. Our context-aware tracking system combines wireless trilateration with a dynamic position tracking model and a probability density map to estimate indoor positions. The localisation network consisted of power meter nodes placed at known positions in a building. The power meter nodes are tracked by mobile nodes which are carried by users to localise their position.We conducted an extensive trial of the context-aware tracking system and performed a comparison analysis with existing localisation techniques. The context-aware tracking system was able to localise a person’s indoor position with an average error of 1.21m.

UOW Authors


  •   Ros, Montserrat
  •   Boom, Joshua (external author)
  •   de Hosson, Gavin (external author)
  •   D'Souza, Matthew (external author)

Publication Date


  • 2012

Citation


  • M. Ros, J. Boom, G. de Hosson & M. D'Souza, "Indoor localisation using a context-aware dynamic position tracking model," International Journal of Navigation and Observation, vol. 2012, pp. 1-12, 2012.

Scopus Eid


  • 2-s2.0-84858247146

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=7350&context=engpapers&unstamped=1

Ro Metadata Url


  • http://ro.uow.edu.au/engpapers/4418

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 1

End Page


  • 12

Volume


  • 2012

Place Of Publication


  • United States

Abstract


  • Indoor wireless localisation is a widely sought feature for use in logistics, health, and social networking applications. Low-powered localisation will become important for the next generation of pervasive media applications that operate on mobile platforms. We present an inexpensive and robust context-aware tracking system that can track the position of users in an indoor environment, using a wireless smart meter network. Our context-aware tracking system combines wireless trilateration with a dynamic position tracking model and a probability density map to estimate indoor positions. The localisation network consisted of power meter nodes placed at known positions in a building. The power meter nodes are tracked by mobile nodes which are carried by users to localise their position.We conducted an extensive trial of the context-aware tracking system and performed a comparison analysis with existing localisation techniques. The context-aware tracking system was able to localise a person’s indoor position with an average error of 1.21m.

UOW Authors


  •   Ros, Montserrat
  •   Boom, Joshua (external author)
  •   de Hosson, Gavin (external author)
  •   D'Souza, Matthew (external author)

Publication Date


  • 2012

Citation


  • M. Ros, J. Boom, G. de Hosson & M. D'Souza, "Indoor localisation using a context-aware dynamic position tracking model," International Journal of Navigation and Observation, vol. 2012, pp. 1-12, 2012.

Scopus Eid


  • 2-s2.0-84858247146

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=7350&context=engpapers&unstamped=1

Ro Metadata Url


  • http://ro.uow.edu.au/engpapers/4418

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 1

End Page


  • 12

Volume


  • 2012

Place Of Publication


  • United States