Efficient Proximity Detection among Mobile Users via Self-Tuning Policies
Summary: Centralized proximity detection for mobile users with per-friend distance thresholds to identify in-range pairs. Self-tuning radius policy minimizes communication, with cost analysis and experiments showing efficient, robust scaling. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Man Lung Yiu (Hong Kong Polytechnic University)
- 2. Leong Hou U (University of Hong Kong)
- 3. Simonas Saltenis (Aalborg University)
- 4. Kostas Tzoumas (Aalborg University)
BibTeX Citation
@article{yiu_vldb10,
title = {{Efficient Proximity Detection among Mobile Users via Self-Tuning Policies}},
author = {Yiu, Man Lung and U, Leong Hou and Saltenis, Simonas and Tzoumas, Kostas},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {985--996},
doi = {10.14778/1920841.1920966},
url = {https://doi.org/10.14778/1920841.1920966},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,224 | A General Framework for Geo-Social Query Processing | 2013 | VLDB | 6.3102414e-05 |
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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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