Power-Conserving Computation of Order-Statistics over Sensor Networks
Summary: First distributed, power-balanced algorithms for sensor-network order-statistics minimizing per-node communication to extend network lifetime. ε-approx quantiles: O((log^2 n)/ε) values per sensor (topology-independent); exact order-statistics in O(log^2 n); improves when height h << n; uses decomposable aggregates. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael B. Greenwald (University of Pennsylvania)
- 2. Sanjeev Khanna (University of Pennsylvania)
BibTeX Citation
@inproceedings{greenwald_pods04,
address = {New York, NY, USA},
series = {{PODS} '04},
title = {{Power-Conserving Computation of Order-Statistics over Sensor Networks}},
url = {https://dl.acm.org/doi/10.1145/1055558.1055597},
doi = {10.1145/1055558.1055597},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Greenwald, Michael B. and Khanna, Sanjeev},
year = {2004}
}
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