Demo Data from EDBT 2026 / reviewers in the wild / expert
Martin Zoula
dblp:284/9183
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-3235-8176ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021
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 · 91% Routing and switching · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › topology control
connectivity guarantee |
0.8 | 1 | 2024 | Wireless Communication Infrastructure Building for Mobile Robot Search and Inspection Missions · ICRA 2024 |
Internet of things and sensor networks › topology control
relay node placement |
0.8 | 1 | 2024 | Wireless Communication Infrastructure Building for Mobile Robot Search and Inspection Missions · ICRA 2024 |
Internet of things and sensor networks
wireless sensor network |
0.8 | 1 | 2024 | Wireless Communication Infrastructure Building for Mobile Robot Search and Inspection Missions · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
linear deployment pattern · 0.8hexagonal tessellation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Wireless Communication Infrastructure Building for Mobile Robot Search and Inspection MissionsabstractIn the paper, we address wireless communication infrastructure building by relay placement based on approaches utilized in wireless network sensors. The problem is motivated by search and inspection missions with mobile robots, where known sensing ranges may be exploited. We investigate the relay placement, establishing network connectivity to support robust food-based communication routing. The proposed method decomposes the given area into Open space and Corridor space where specific deployment patterns allow for guaranteed k-connectivity, making the resulting network redundant while keeping channel utilization bounded. In particular, a hexagonal tesselation coverage pattern with 3-connectivity is investigated in Open space and a linear 4-connectivity pattern in Corridor space, respectively. The proposed approach is empirically evaluated in a realistic scenario, and based on the reported results, it is found superior compared to the existing stochastic randomized dual sampling schema. Martin Zoula, Jan Faigl |
ICRA | 1 |