Demo Data from SIGIR 2026 / reviewers in the wild / expert
Stephen M. George
dblp:57/7219
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0001-9011-2097ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
2 papers |
Wireless sensing and localization · 41% Internet of things and sensor networks · 32% Network measurement and analytics · 21% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization › sensor network localization
node localization |
0.1 | 1 | 2012 | Asymmetric Event-Driven Node Localization in Wireless Sensor Networks · IEEE Trans. Parallel Distributed Syst. 2012 |
Internet of things and sensor networks
wireless sensor network |
0.1 | 1 | 2012 | Asymmetric Event-Driven Node Localization in Wireless Sensor Networks · IEEE Trans. Parallel Distributed Syst. 2012 |
Network measurement and analytics › sampling
sub-nyquist sampling |
0.1 | 1 | 2009 | Demo abstract: Signal reconstruction with subnyquist sampling using wireless sensor networks · IPSN 2009 |
Wireless sensing and localization
outdoor localization |
0.0 | 1 | 2012 | Asymmetric Event-Driven Node Localization in Wireless Sensor Networks · IEEE Trans. Parallel Distributed Syst. 2012 |
Physical-layer communications › signal processing for communications
signal recovery |
0.0 | 1 | 2009 | Demo abstract: Signal reconstruction with subnyquist sampling using wireless sensor networks · IPSN 2009 |
Methods — techniques the papers use, named apart from their topics
evaluation · 0.1deployment · 0.1sub-nyquist sampling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Asymmetric Event-Driven Node Localization in Wireless Sensor NetworksabstractLocalization of wireless sensor nodes has long been regarded as a problem that is difficult to solve, especially when considering characteristics of real-world environments. This paper formally describes, designs, implements, and evaluates a novel localization system called Spotlight. The system uses spatiotemporal properties of well-controlled events in the network, light in this case, to obtain locations of sensor nodes. Performance of the system is evaluated through deployments of Mica2 and XSM motes in an outdoor environment, where 20 cm localization error is achieved. A sensor network consisting of any number of nodes deployed in a 2,500 m2area can be localized in under 10 minutes. Submeter localization error in an outdoor environment is made possible without equipping the wireless sensor nodes with specialized ranging hardware. Radu Stoleru, Tian He 0001, Siddhartha S. Mathiharan, Stephen M. George, John A. Stankovic |
IEEE Trans. Parallel Distributed Syst. | 4 |
| 2011 | Towards robustness and energy efficiency of cut detection in wireless sensor networks
Myounggyu Won, Stephen M. George, Radu Stoleru |
Ad Hoc Networks | 2 |
| 2009 | Demo abstract: Signal reconstruction with subnyquist sampling using wireless sensor networks
Andria Pazarloglou, Stephen M. George, Radu Stoleru, Ricardo Gutierrez-Osuna |
IPSN | 2 |
| 2009 | RE2-CD: Robust and Energy Efficient Cut Detection in Wireless Sensor Networks
Myounggyu Won, Stephen M. George, Radu Stoleru |
WASA | 2 |