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Suppression and Failures in Sensor Networks: A Bayesian Approach

Summary: BaySail uses Bayesian inference to disambiguate suppressed readings from message failures in energy-constrained sensor networks. Application-level redundancy beats retransmission and basic sampling on the cost–accuracy trade-off. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9825
Venue
VLDB
Year
2007
Pagerank
5.093636e-05
Overall Rank
12,673 | 13.06%
DOI
-

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@article{silberstein_vldb07,
        title = {{Suppression and Failures in Sensor Networks: A Bayesian Approach}},
        author = {Silberstein, Adam and Puggioni, Gavino and Gelfand, Alan and Munagala, Kamesh and Yang, Jun},
        journal = {PVLDB},
        series = {{VLDB} '07},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,505 Large-Scale Uncertainty Management Systems: Learning and Exploiting Your Data (Tutorial Summary) 2009 SIGMOD 5.093636e-05
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