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Data Compression in Sensor Networks

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Encyclopedia of Database Systems

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Recommended Reading

  1. Adler M. Collecting correlated information from a sensor network. In: Proceedings of the 16th Annual ACM-SIAM Symposium on Discrete Algorithms; 2005.

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  2. Chu D, Deshpande A, Hellerstein J, Hong W. Approximate data collection in sensor networks using probabilistic models. In: Proceedings of the 22nd International Conference on Data Engineering; 2006.

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  3. Pattem S, Krishnamachari B, Govindan R. The impact of spatial correlation on routing with compression in wireless sensor networks. In: Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks; 2004.

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  4. Pradhan S, Ramchandran K. Distributed source coding using syndromes (DISCUS): design and construction. IEEE Trans Inform Theory. 2003;49(3)

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  5. Silberstein A, Puggioni G, Gelfand A, Munagala K, Yang J. Making sense of suppressions and failures in sensor data: a Bayesian approach. In: Proceedings of the 33rd International Conference on Very Large Data Bases; 2007.

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  6. Slepian D, Wolf J. Noiseless coding of correlated information sources. IEEE Trans Inf Theory. 1973;19(4).

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Author information

Authors and Affiliations

  1. University of Maryland, College Park, MD, USA

    Amol Deshpande

Authors
  1. Amol Deshpande
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Correspondence to Amol Deshpande .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Le Gruenwald

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Deshpande, A. (2018). Data Compression in Sensor Networks. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_96

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