Processing Continuous Join Queries in Sensor Networks: a Filtering Approach
Summary: Filtering-based processing of continuous joins in sensor networks; reduces communication by skipping nonmatching tuples. Maintains filters with optimized sizes and update policies over time, achieving near-optimal performance and beating prior joins. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mirco Stern
- 2. Klemens Böhm
- 3. Erik Buchmann
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Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 477 | Model-Driven Data Acquisition in Sensor Networks | 2004 | VLDB | 0.00022205608 |
| 745 | Adaptive Precision Setting for Cached Approximate Values | 2001 | SIGMOD | 0.00017215095 |
| 881 | Query Processing for Sensor Networks | 2003 | CIDR | 0.00015634948 |
| 1,006 | Adaptive Filters for Continuous Queries over Distributed Data Streams | 2003 | SIGMOD | 0.00014684829 |
| 1,069 | Adaptive Stream Resource Management Using Kalman Filters | 2004 | SIGMOD | 0.00014285617 |
| 5,033 | REED: Robust, Efficient Filtering and Event Detection in Sensor Networks | 2005 | VLDB | 5.7425962e-05 |
| 6,641 | In-Network Execution of Monitoring Queries in Sensor Networks | 2007 | SIGMOD | 4.9750304e-05 |
| 8,767 | STAR: Self-Tuning Aggregation for Scalable Monitoring | 2007 | VLDB | 4.4520434e-05 |
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