Publications de Guillermo Barrenetxea Kobas

The Beauty of the Commons: Optimal Load Sharing by Base Station Hopping in Wireless Sensor Networks

Patrick Thiran, Martin Vetterli, Guillermo Barrenetxea Kobas, François Ingelrest, Runwei Zhang

In wireless sensor networks (WSNs), the base station (BS) is a critical sensor node whose failure causes severe data losses. Deploying multiple fixed BSs improves the robustness, yet requires all BSs to be installed with large batteries and large energy-ha ...

2015

Improving the degree-day method for sub-daily melt simulations with physically-based diurnal variations

Bettina Schaefli, Guillermo Barrenetxea Kobas, Marc Parlange, Cara Christine Tobin, Andrea Rinaldo, Silvia Simoni, Ludovico Nicotina

This paper proposes a new extension of the classical degree-day snowmelt model applicable to hourly simulations for regions with limited data and adaptable to a broad range of spatially-explicit hydrological models. The snowmelt schemes have been tested wi ...

Elsevier2013

How is the Weather: Automatic Inference from Images

Martin Vetterli, Guillermo Barrenetxea Kobas, Feng Yang, Zichong Chen, Albrecht Johannes Lindner

Low-cost monitoring cameras/webcams provide unique visual information. To take advantage of the vast image dataset captured by a typical webcam, we consider the problem of retrieving weather information from a database of still images. The task is to autom ...

2012

Event-Driven Video Coding for Outdoor Wireless Monitoring Cameras

Martin Vetterli, Guillermo Barrenetxea Kobas, Zichong Chen

Reducing communication cost is crucial for outdoor wireless monitoring cameras which are constrained by limited energy budgets. From event detection point of view, traditional video coding schemes such as H.264 are inefficient as they ignore the "meaning" ...

2012

Distributed Successive Refinement of Multiview Images Using Broadcast Advantage

Martin Vetterli, Guillermo Barrenetxea Kobas, Zichong Chen

In environmental monitoring applications, having multiple cameras focus on common scenery increases robustness of the system. To save energy based on user demand, successive refinement image coding is important, as it allows us to progressively request bet ...

Institute of Electrical and Electronics Engineers2012

Share Risk and Energy: Sampling and Communication Strategies for Multi-Camera Wireless Monitoring Networks

Martin Vetterli, Guillermo Barrenetxea Kobas, Zichong Chen

In the context of environmental monitoring, outdoor wireless cameras are vulnerable to natural hazards. To benefit from the inexpensive imaging sensors, we introduce a multi-camera monitoring system to share the physical risk. With multiple cameras focusin ...

Ieee2012

Sensorcam: An Energy-Efficient Smart Wireless Camera for Environmental Monitoring

Martin Vetterli, Paolo Prandoni, Guillermo Barrenetxea Kobas, Zichong Chen

Reducing energy cost is crucial for energy-constrained smart wireless cameras. Existing platforms impose two main challenges: First, most commercial smart phones have a closed platform, which makes it impossible to manage low-level circuits. Since the samp ...

Assoc Computing Machinery2012

Hydrologic response of an alpine watershed: Application of a meteorological wireless sensor network to understand streamflow generation

Martin Vetterli, Guillermo Barrenetxea Kobas, Marc Diebold, Marc Parlange, François Ingelrest, Daniel Nadeau, Silvia Simoni, Simone Padoan

A field measurement campaign was conducted from June to October 2009 in a 20 km2 catchment of the Swiss Alps with a wireless network of 12 weather stations and river discharge monitoring. The objective was to investigate the spatial variability of meteorol ...

American Geophysical Union2011

Distributed Successive Approximation Coding using Broadcast Advantage: the Two-Encoder Case

Martin Vetterli, Guillermo Barrenetxea Kobas, Zichong Chen

Traditional distributed source coding rarely considers the possible link between separate encoders. However, the broadcast nature of wireless communication in sensor networks provides a free gossip mechanism which can be used to simplify encoding/decoding ...

2010

OpenSense: open community driven sensing of environment

Boi Faltings, Alcherio Martinoli, Karl Aberer, Guillermo Barrenetxea Kobas, Saket Sathe, Dipanjan Chakraborty

This paper outlines a vision for community-driven sensing of our environment. At its core, community sensing is a dynamic new form of mobile geosensor network. We believe that community sensing networks, in order to be widely deployable and sustainable, ne ...

ACM2010

Stream Temperature Response to Three Riparian Vegetation Scenarios by Use of a Distributed Temperature Validated Model

Aurèle Parriaux, Martin Vetterli, Guillermo Barrenetxea Kobas, Marc Parlange, Wolf Hendrik Huwald

Elevated in-stream temperature has led to a surge in the occurrence of parasitic intrusion proliferative kidney disease and has resulted in fish kills throughout Switzerland's waterways. Data from distributed temperature sensing (DTS) in-stream measurement ...

2010

SensorScope: Application-Specific Sensor Network for Environmental Monitoring

Martin Vetterli, Olivier Couach, Guillermo Barrenetxea Kobas, Marc Parlange, François Ingelrest

SensorScope 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 ...

2010

Environmental Monitoring 2.0

Karl Aberer, Guillermo Barrenetxea Kobas, Marc Parlange, Ali Salehi, Sebastian Michel, Mathias Thierry Pierre Bavay

A sensor network data gathering and visualization infrastructure is demonstrated, comprising of Global Sensor Networks (GSN) middleware and Microsoft SensorMap. Users are invited to actively participate in the process of monitoring real-world deployments a ...

ICDE2009

Estimation of urban sensible heat flux using a dense wireless network of observations

Marc-Olivier Boldi, Martin Vetterli, Olivier Couach, Guillermo Barrenetxea Kobas, Marc Parlange, Daniel Nadeau

The determination of the sensible heat flux over urban terrain is challenging due to irregular surface geometry and surface types. To address this, in 2006–07, a major field campaign (LUCE) took place at the École Polytechnique Fédérale de Lausanne campus, ...

Springer Verlag2009

The Hitchhiker's Guide to Successful Wireless Sensor Network Deployments

Martin Vetterli, Guillermo Barrenetxea Kobas, François Ingelrest

The successful deployment of a wireless sensor network is a difficult task, littered with traps and pitfalls. Even a functional network does not guarantee gathering meaningful data. In SensorScope, with its high-mountain campaigns, we have acquired invalua ...

2008

SensorScope, un système clef en main de surveillance de l'environnement

Martin Vetterli, Guillermo Barrenetxea Kobas, François Ingelrest

Given the importance of climate changes and their potentially dramatic consequences for human beings, designing precise and reliable evolution models is of prime importance. Unfortunately, current data collection techniques are rather limited as they make ...

2008

Wireless Sensor Networks for Environmental Monitoring: The SensorScope Experience

Martin Vetterli, Guillermo Barrenetxea Kobas, François Ingelrest

While wireless sensor networks have been extensively studied in the past few years, most results are of theoretical nature and were obtained outside of a practical context. This can be problematic for real applications, especially in the area of environmen ...

2008

SensorScope: Out-of-the-Box Environmental Monitoring

Martin Vetterli, Olivier Couach, Guillermo Barrenetxea Kobas, Marc Parlange, François Ingelrest

Environmental 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 ...

IEEE2008

SensorScope: Out-of-the-Box Environmental Monitoring

Martin Vetterli, Olivier Couach, Guillermo Barrenetxea Kobas, Marc Parlange, François Ingelrest

An important field of application for wireless sensor networks is environmental monitoring. Given the importance of potential climate changes, environmental impact on cities, and pollution, it is an application domain where sensor networks can have great i ...

2008

Assessing the Challenges of Environmental Signal Processing through the SensorScope Project

Martin Vetterli, Guillermo Barrenetxea Kobas, François Ingelrest, Yue Lu

SensorScope is a collaborative project between network, signal processing, and environmental researchers that aims at providing a cheap and out-of-the-box environmental monitoring system based on a wireless sensor network. It has been successfully used in ...

2008