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Guillermo Barrenetxea Kobas

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Related publications (25)

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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

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

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

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

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

Martin Vetterli, Marc Parlange, Guillermo Barrenetxea Kobas, François Ingelrest, Marc Diebold, Daniel Nadeau, 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

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

Martin Vetterli, Guillermo Barrenetxea Kobas, Paolo Prandoni, 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

Distributed routing algorithms for sensor networks

Guillermo Barrenetxea Kobas

Recent advances in wireless communications and computing technology are enabling the emergence of low-cost devices that incorporate sensing, processing, and communication functionalities. A large number of these devices are deployed in the field to create ...

EPFL2006

SensorScope: Application-Specific Sensor Network for Environmental Monitoring

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

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

A Weather Station for SensorScope

Guillermo Barrenetxea Kobas, Henri Julien Dubois-Ferrière

The SensorScope project is a collaboration between environmental scientists and hardware/software engineers at EPFL. It will consist of two large-scale outdoor sensor networking deployments, the first on the EPFL campus, and the second on an alpine glacier ...

2006

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

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

Martin Vetterli, Patrick Thiran, 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

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

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

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

Experiences with Reproducible Research in Various Facets of Signal Processing Research

Martin Vetterli, Guillermo Barrenetxea Kobas, Andrea Ridolfi, Ivana Jovanovic, Patrick Vandewalle

How often have you been able to implement an algorithm as it is described in a paper? And when you did, were you confident that you had exactly the same parameter values and results as the authors of the paper? All too often, articles do not describe all t ...

2007

Environmental Monitoring 2.0

Karl Aberer, Marc Parlange, Guillermo Barrenetxea Kobas, Sebastian Michel

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

How is the Weather: Automatic Inference from Images

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

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

OpenSense: open community driven sensing of environment

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

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

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

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

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

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

Lattice Networks: Capacity Limits, Optimal Routing and Queueing Behavior

Martin Vetterli, Guillermo Barrenetxea Kobas

Lattice networks are widely used in regular settings like grid computing, distributed control, satellite constellations, and sensor networks. Thus, limits on capacity, optimal routing policies, and performance with finite buffers are key issues and are add ...

2006

SensorScope: Out-of-the-Box Environmental Monitoring

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

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