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Compressing GPS Data on Mobile Devices

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4278))

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.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.

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References

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© 2006 Springer-Verlag Berlin Heidelberg

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Lever, R., Hinze, A., Buchanan, G. (2006). Compressing GPS Data on Mobile Devices. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_102

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  • DOI: https://doi.org/10.1007/11915072_102

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48273-4

  • Online ISBN: 978-3-540-48276-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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