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 | 0.00022221803 |
| 750 | Adaptive Precision Setting for Cached Approximate Values | 2001 | SIGMOD | 0.00017220819 |
| 885 | Query Processing for Sensor Networks | 2003 | CIDR | 0.00015646925 |
| 1,003 | Adaptive Filters for Continuous Queries over Distributed Data Streams | 2003 | SIGMOD | 0.00014698435 |
| 1,045 | Adaptive Stream Resource Management Using Kalman Filters | 2004 | SIGMOD | 0.00014472777 |
| 5,034 | REED: Robust, Efficient Filtering and Event Detection in Sensor Networks | 2005 | VLDB | 5.7481228e-05 |
| 6,640 | In-Network Execution of Monitoring Queries in Sensor Networks | 2007 | SIGMOD | 4.9798084e-05 |
| 8,770 | STAR: Self-Tuning Aggregation for Scalable Monitoring | 2007 | VLDB | 4.456315e-05 |
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