• DocumentCode
    3421831
  • Title

    Authenticated data compression in delay tolerant wireless sensor networks

  • Author

    Oh, Young-Hyun ; Ning, Peng ; Liu, Yao ; Reiter, Michael K.

  • Author_Institution
    North Carolina State Univ., Raleigh, NC, USA
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Delay Tolerant Wireless Sensor Networks (DTWSNs) are sensor networks where continuous connectivity between the sensor nodes and their final destinations (e.g., the base station) cannot be guaranteed. Storage constraints are particularly a concern in DTWSNs, since each node may have to store sensed data for a long period of time due to intermittent communication while continuously collecting data. In this paper, we develop novel techniques to seamlessly authenticate and compress sensed data, addressing the storage concerns in DTWSNs in hostile environments by harnessing both temporal and spatial correlation among sensed data. By appropriately using Message Authentication Code (MAC) and one-way hash functions, our techniques allow a node (including intermediate, non-source nodes) to efficiently compress sensed data without regenerating MACs. We explore the trade-off between data distortion and storage reduction provided by compression so that we can reach the maximum data reduction while maintaining desired data quality.
  • Keywords
    data compression; message authentication; wireless sensor networks; continuous connectivity; data compression; data distortion; delay tolerant wireless sensor networks; intermittent communication; message authentication code; one-way hash functions; storage constraints; storage reduction; Base stations; Data compression; Data security; Disruption tolerant networking; Message authentication; Mobile communication; Monitoring; Protection; Redundancy; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Sensing Systems (INSS), 2009 Sixth International Conference on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    978-1-4244-6313-8
  • Electronic_ISBN
    978-1-4244-6314-5
  • Type

    conf

  • DOI
    10.1109/INSS.2009.5409933
  • Filename
    5409933