Model-Driven Data Acquisition in Sensor Networks
Summary: Enriches declarative sensor queries with statistical models to map readings to reality and provide probabilistic confidence. Presents an optimization to select readings under cost, with an exponential-time exact solver and a practical polynomial-time heuristic, achieving high fidelity and gains over traditional acquisition. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Amol Deshpande (University of California Berkeley)
- 2. Carlos Guestrin (Intel)
- 3. Samuel R. Madden (Intel; Massachusetts Institute of Technology)
- 4. Joseph M. Hellerstein (Intel; University of California Berkeley)
- 5. Wei Hong (Intel)
BibTeX Citation
@article{deshpande_vldb04,
title = {{Model-Driven Data Acquisition in Sensor Networks}},
author = {Deshpande, Amol and Guestrin, Carlos and Madden, Samuel R. and Hellerstein, Joseph M. and Hong, Wei},
journal = {PVLDB},
series = {{VLDB} '04},
pages = {588--599},
doi = {10.1016/B978-012088469-8.50053-X},
url = {https://doi.org/10.1016/B978-012088469-8.50053-X},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
Showing 50 of 59 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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