Demo Data from EDBT 2026 / reviewers in the wild / expert
Tobias Gatschet
dblp:305/9168
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 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 · 87% Wireless networking · 13% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › iot networks › iot communication › sensor network communication
event-driven communication |
0.5 | 1 | 2021 | STeC: Exploiting Spatial and Temporal Correlation for Event-based Communication in WSNs · SenSys 2021 |
Internet of things and sensor networks › wireless sensor network
spatial and temporal correlation |
0.5 | 1 | 2021 | STeC: Exploiting Spatial and Temporal Correlation for Event-based Communication in WSNs · SenSys 2021 |
Methods — techniques the papers use, named apart from their topics
trace-based experimentation · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | STeC: Exploiting Spatial and Temporal Correlation for Event-based Communication in WSNsabstractLow-power wireless sensor networks have demonstrated their potential for the detection of rare events such as rockfalls and wildfires, where rapid reporting as well as long-term energy-efficient operation is vital. However, current systems require periodic synchronization to maintain network coordination, heavily rely on node placement or use costly long-range links to infrastructure. We present STeC, a novel wireless communication design that directly exploits the spatial and temporal correlation of signals from the sensed phenomenon to orchestrate event-based communication. We leverage the locality of a co-detection, where a physical event triggers multiple sensors quasi-simultaneously, to efficiently collect, characterize and report sensor data. This eliminates the overhead of periodic network activity and centralized control, resulting in more energy-efficient communication with a lower, more consistent detection latency. In doing so, we propose a fundamentally new approach to avoid the elementary conflict between duty cycle and latency requirements immanent to synchronous protocols by exploiting correlated sensor signals for networking. Experiments using real-world traces of a natural hazard detection application show that STeC reduces the detection latency by up to 87 % compared to standard single-hop communication and outperforms traditional schedule-based methods by up to 58.4 x in energy efficiency. Andreas Biri, Reto Da Forno, Tonio Gsell, Tobias Gatschet, Jan Beutel, Lothar Thiele |
SenSys | 4 |