Mustafa Yuecel

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The PermaSense project has set the ambitious goal of gathering real-time environmental data for high-mountain permafrost in unattended operation over multiple years. This paper discusses the specialized sensing and data recovery architecture tailored to meet the precision, reliability and durability requirements of scientists utilizing the data for model(More)
Wireless Sensor Network applications require dependable platforms that deliver correct and reliable operation over long periods. However, application characterization and exact system requirements specification can be complicated due to unknown environmental factors and system limitations. In this demo abstract we present a new approach to design space(More)
A vital factor for a successful deployment of sensor nodes is testing of all system aspects in a realistic setup. This work presents a testbed architecture which allows for detailed monitoring and stimulation of a wireless sensor node. In particular, time-accurate state extraction and power measurements are provided in a distributed, yet synchronized(More)
A significant need exists for in situ sensors that can measure chemical species involved in the major processes of primary production (photosynthesis and chemosynthesis) and respiration. Some key chemical species are O2, nutrients (N and P), micronutrients (metals), pCO2, dissolved inorganic carbon (DIC), pH, and sulfide. Sensors need to have excellent(More)
Wireless Sensor Networks (WSNs) are becoming widely used in scientific applications as they allow for instrumenting the environment in previously impossible ways revealing unprecedented insight and detailed data. Long term monitoring of environmental processes and the harsh reality of remote and inaccessible terrain demand longevity from such WSN(More)
Sensor networks deployed in remote locations require easy to use but also extremely expressive tools for reliable operation. The PermaSense project has developed a platform based on a number of proven COTS components and integrated with the GSN based data backend. All tools are accessible from a single location in a web browser. This demo will present the(More)
Wood falls on the ocean floor form chemosynthetic ecosystems that remain poorly studied compared with features such as hydrothermal vents or whale falls. In particular, the microbes forming the base of this unique ecosystem are not well characterized and the ecology of communities is not known. Here we use wood as a model to study microorganisms that(More)
The PermaSense project strives to collect long-term geophysical data for permafrost research in Switzerland. By now, we have successfully established two installations at Jungfraujoch and Matterhorn measuring temperature profiles, crack dilatation, pressures and conductivity in the alpine extremes at 3.500m a.s.l. The data is sampled continuously and(More)