Compressing GPS data on mobile devices

  • Authors:
  • Ryan Lever;Annika Hinze;George Buchanan

  • Affiliations:
  • University of Wales, Swansea;University of Waikato, New Zealand;University of Wales, Swansea

  • Venue:
  • OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
  • Year:
  • 2006

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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.