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Trend cluster based interpolation everywhere in a sensor network

Published:26 March 2012Publication History

ABSTRACT

The information acquisition in a pervasive sensor network is often affected by faults due to power outage at nodes, wrong time synchronizations, interference, network transmission failures, sensor hardware issues or excessive energy consumption for communications. These issues impose a trade-off between the precision of the measurements and the costs of communication and processing, which are directly proportional to the number of sensors.

References

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  3. A. Ciampi, A. Appice, D. Malerba, and P. Guccione. Trend cluster based compression of geographically distributed data streams. In CIDM 2011, pages 168--175. IEEE, 2011.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Conferences
    SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing
    March 2012
    2179 pages
    ISBN:9781450308571
    DOI:10.1145/2245276
    • Conference Chairs:
    • Sascha Ossowski,
    • Paola Lecca

    Copyright © 2012 Authors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 26 March 2012

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    Acceptance Rates

    SAC '12 Paper Acceptance Rate270of1,056submissions,26%Overall Acceptance Rate1,650of6,669submissions,25%

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