An Abbreviate Representation for Semantically Indexing of Physically Massive Data Out of Sensor Networks on the Rove

  • MinHwan Ok
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6724)


Vehicles are becoming smart by their equipments with sensors and actuators. The equipment would report the detected malfunction status or monitored faulty part to the driver, and it should report that to a sort of a traffic control center as the defective car might require a professional support. It is preferable to transmit the collected data after reducing the amount data. In this work, an abbreviation method is proposed to preserve the substitutes of data probably significant. The abbreviation reduces the amount of data to be transmitted and stored, by abbreviating the data into substitutes remained useful to the calculations in detecting malfunction status or monitoring faulty part.


Sensor Data Integration Sensor Web Cyber-physical system 


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  1. 1.
    Campbell, J., Gibbons, P.B., Nath, S.: IrisNet: An Internet-Scale Architecture for Multimedia Sensors. In: Annual ACM International Conference on Multimedia, pp. 81–88. ACM, New York (2005)CrossRefGoogle Scholar
  2. 2.
    Deshpande, A., Nath, S., Gibbons, P.B., Seshan, S.: Cache-and-query for wide area sensor databases. In: ACM SIGMOD International Conference, pp. 503–514. ACM, New York (2003)Google Scholar
  3. 3.
    Sheth, A., Henson, C., Sahoo, S.S.: Semantic Sensor Web. IEEE Inter. Comp. 12(4), 78–83 (2008)CrossRefGoogle Scholar
  4. 4.
    Dickerson, R., Lu, J., Lu, J., Whitehouse, K.: Stream Feeds - An Abstraction for the World Wide Sensor Web. In: The Internet of Things, pp. 360–375. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  5. 5.
    Aberer, K., Hauswirth, M., Salehi, A.: Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks. In: International Conference on Mobile Data Management, pp. 198–205. IEEE, Mannheim (2007)Google Scholar
  6. 6.
    Jayasumana, A.P., Han, Q.: Virtual Sensor Networks - A Resource Efficient Approach for Concurrent Applications. In: International Conference on Information Technology, pp. 111–115. IEEE CS, Las Vegas (2007)Google Scholar
  7. 7.
    Ibrahim, K.I., Kronsteiner, R., Kotsis, G.: A Semantic Solution for Data Integration in Mixed Sensor Networks. Comp. Comm. 28, 1564–1574 (2008)CrossRefGoogle Scholar
  8. 8.
    Ok, M.: A Hierarchical Representation for Recording Semantically Condensed Data from Physically Massive Data Out of Sensor Networks Geographically Dispersed. In: The OTM Workshops, pp. 69–76. Springer, Heidelberg (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • MinHwan Ok
    • 1
  1. 1.Korea Railroad Research InstituteUiwangKorea

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