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      Compressing GPS data on mobile devices

      Lever, Ryan; Hinze, Annika; Buchanan, George
      DOI
       10.1007/11915072_102
      Link
       www.springerlink.com
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      Citation
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      Lever, R., Hinze, A. & Buchanan, G. (2006). Compressing GPS data on mobile devices. In R. Meersman, Z. Tari, P. Herrero et al.(Eds), Proceedings of OTM Confederated International Workshops and Posters, AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET, OnToContent, ORM, PerSys, OTM Academy Doctoral Consortium, RDDS, SWWS, and SeBGIS 2006, Montpellier, France, October 29 - November 3, 2006(pp. 1944-1947). Berlin, Germany: Springer.
      Permanent Research Commons link: https://hdl.handle.net/10289/1758
      Abstract
      In context-aware mobile systems, data on past user behaviour or use of a device can give critical information. The scale of this data may be large, and it must be quickly searched and retrieved. Compression is a powerful tool for both storing and indexing data. For text documents powerful algorithms using structured storage achieve high compression and rapid search and retrieval. Byte-stream techniques provide higher compression, but lack indexation and have slow retrieval.

      Location is a common form of context frequently used in research prototypes of tourist guide systems, location-aware searching and adaptive hypermedia. In this paper, we present an exploration of record-based compression of Global Positioning System (GPS) data that reveals significant technical limitations on what can be achieved on mobile devices, and a discussion of the benefits of different compression techniques on GPS data.
      Date
      2006
      Type
      Conference Contribution
      Publisher
      Springer
      Collections
      • Computing and Mathematical Sciences Papers [1454]
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