Demo Data from EDBT 2026 / reviewers in the wild / expert
Pyungsoo Mah
dblp:86/8919
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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
1 paper |
Internet of things and sensor networks · 50% Physical-layer communications · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
radio propagation |
0.1 | 1 | 2010 | RealSSim: a simulator for indoor sensor network systems · SenSys 2010 |
Internet of things and sensor networks › wireless sensor network
sensor network simulation |
0.1 | 1 | 2010 | RealSSim: a simulator for indoor sensor network systems · SenSys 2010 |
Methods — techniques the papers use, named apart from their topics
ray-based radio propagation simulation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | RealSSim: a simulator for indoor sensor network systemsabstractExisting sensor network simulators are not appropriate for indoor sensor network systems. We present RealSSim, the sensor network simulator especially developed for indoor sensor networks. RealSSim considers the structure of buildings and the quality of construction materials for accurate radio propagation analysis. It also supports an attractive visualization of the level as commercial products. In our demonstration, we show the whole process of simulation for two indoor sensor network systems. Yu-Seung Ma, Junkeun Song, Ji-Young Kwak, Misun Yu, Duk-Kyun Woo, Pyungsoo Mah |
SenSys | 6 |