Gunnar Schaefer

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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 multiple campaigns in various environments (<i>e.g.</i>, urban, high-mountain), we have acquired much knowledge in planning, conducting, and managing(More)
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 and as such, is getting more and more attention. Current data collection techniques are indeed rather(More)
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 domain where sensor networks will have great impact by providing high resolution spatio-temporal data(More)
The low quality of wireless links leads to perpetual packet losses. While an acknowledgment mechanism is generally used to cope with these losses, multiple retransmissions nevertheless occur. Opportunistic routing limits these retransmissions by taking advantage of the broadcast nature of the wireless channel: sending packets to multiple receivers at once,(More)
The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain. Despite the fact that MRI is routinely used to obtain data for neuroscience research,(More)
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 environmental monitoring where many factors, such as harsh weather conditions, can greatly influence the(More)
State Machines constitute an integral part of software behavior specification within the UML. The development of realistic software applications often results in complex and distributed models. Potential errors can be very subtle and hard to locate for the developer. Thus, we present a set of robustness rules that seek to avoid common types of errors by(More)
Among the numerous numbers of applications the viability of wireless sensor networks have been thought about, environmental monitoring constitutes an important field of application. Given the severity of potential climate changes and its effect on the environment, it is a domain where the use of sensor networks can have great impact and as such, is getting(More)
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