VLDB 2026 Research / reviewers in the wild / expert
Olivier Couach
dblp:85/3218
· DBLP profile ↗
2ranked-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 · 2
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 · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › wireless sensor network
environmental monitoring |
0.1 | 1 | 2008 | SensorScope: Out-of-the-Box Environmental Monitoring · IPSN 2008 |
Internet of things and sensor networks
wireless sensor network |
0.1 | 1 | 2008 | SensorScope: Out-of-the-Box Environmental Monitoring · IPSN 2008 |
Environmental and earth informatics
environmental sensing |
0.0 | 1 | 2008 | SensorScope: Out-of-the-Box Environmental Monitoring · IPSN 2008 |
Methods — techniques the papers use, named apart from their topics
hardware and network architecture · 0.2data gathering · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | SensorScope: Application-specific sensor network for environmental monitoringabstractSensorScope is a turnkey solution for environmental monitoring systems, based on a wireless sensor network and resulting from a collaboration between environmental and network researchers. Given the interest in climate change, environmental monitoring is a domain where sensor networks will have great impact by providing high resolution spatio-temporal data for long periods of time. SensorScope is such a system, which has already been successfully deployed multiple times in various environments (e.g., mountainous, urban). Here, we describe the overall hardware and software architectures and especially focus on the sensor network itself. We also describe one of our most prominent deployments, on top of a rock glacier in Switzerland, which resulted in the description of a micro-climate phenomenon leading to cold air release from a rock-covered glacier in a region of high alpine risks. Another focus of this paper is the description of what happened behind the scenes to turn SensorScope from a laboratory experiment into successful outdoor deployments in harsh environments. Illustrated by various examples, we point out many lessons learned while working on the project. We indicate the importance of simple code, well suited to the application, as well as the value of close interaction with end-users in planning and running the network and finally exploiting the data. François Ingelrest, Guillermo Barrenetxea, Gunnar Schaefer, Martin Vetterli, Olivier Couach, Marc Parlange |
ACM Trans. Sens. Networks | 5 |
| 2008 | SensorScope: Out-of-the-Box Environmental MonitoringabstractEnvironmental monitoring constitutes an important field of application for wireless sensor networks. Given the severity of potential climate changes, environmental impact on cities, and pollution, it is a domain where sensor networks can have great impact and as such, is getting more and more attention. Current data collection techniques are indeed rather limited and make use of very expensive sensing stations, leading to a lack of appropriate observations. In this paper, we present SensorScope, a collaborative project between environmental and network researchers, that aims at providing an efficient and inexpensive out-of-the-box environmental monitoring system, based on a wireless sensor network. We especially focus on data gathering and present the hardware and network architecture of SensorScope. We also describe a real-world deployment, which took place on a rock glacier in Switzerland, as well as the results we obtained. Guillermo Barrenetxea, François Ingelrest, Gunnar Schaefer, Martin Vetterli, Olivier Couach, Marc Parlange |
IPSN | 5 |