Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams
Summary: Tributary-Delta merges tree- and multi-path in-network aggregation using separate regions and adapting to conditions. It yields frequent-items and quantiles with worst-case bounds on non-regular trees, plus a more accurate multi-path estimator. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Amit Manjhi (Carnegie Mellon University)
- 2. Suman Nath (Carnegie Mellon University)
- 3. Phillip B. Gibbons (Intel)
BibTeX Citation
@inproceedings{manjhi_sigmod05,
title = {{Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams}},
author = {Manjhi, Amit and Nath, Suman and Gibbons, Phillip B.},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066191},
url = {https://dl.acm.org/doi/10.1145/1066157.1066191},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 26 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00052121228 |
| 124 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00030600691 |
| 343 | Model-Driven Data Acquisition in Sensor Networks | 2004 | VLDB | 0.00020519525 |
| 798 | Query Processing for Sensor Networks | 2003 | CIDR | 0.00013915609 |
| 850 | The Design of an Acquisitional Query Processor For Sensor Networks | 2003 | SIGMOD | 0.00013488409 |
| 1,434 | Power-Conserving Computation of Order-Statistics over Sensor Networks | 2004 | PODS | 0.00010665845 |
| 4,421 | The Price of Validity in Dynamic Networks | 2004 | SIGMOD | 6.6064816e-05 |
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