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Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams (2005)  (Make Corrections)  
Amit Manjhi, Suman Nath, Phillip B. Gibbons



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Abstract: in sensor networks can be classified into two categories, tree-based and multi-path-based, with each having unique strengths and weaknesses. In this paper, we introduce Tributary -Delta, a novel approach that combines the advantages of the tree and multi-path approaches by running them simultaneously in di#erent regions of the network. We present schemes for adjusting the regions in response to changes in network conditions, and show how many useful aggregates can be readily computed within... (Update)

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BibTeX entry:   (Update)

@misc{ manjhi-tributaries,
  author = "Amit Manjhi and Suman Nath and Phillip B. Gibbons",
  title = "Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network
    Streams",
  url = "citeseer.ist.psu.edu/manjhi05tributaries.html" }
Citations (may not include all citations):
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4   Medians and beyond: New aggregation techniques for sensor ne.. (context) - Shrivastava, Buragohain et al. - 2004
3   The design of an acquisational query processor for sensor ne.. (context) - Madden, Franklin et al. - 2003
2   Spatio-temporal aggegration using sketches (context) - Tao, Kollios et al. - 2004
1   Tributaries and deltas: E#cient and robust aggregation in se.. (context) - Manjhi, Nath et al. - 2005
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Documents on the same site (http://www.cs.cmu.edu/~manjhi/publications/tributariesDeltas.html):
Tributaries and Deltas: Efficient and Robust Aggregation.. - Manjhi, Nath, Gibbons (2005)   (Correct)

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