Felix Jonathan Oppermann

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Wireless Sensor and Actuator Networks (WSNs) are distributed sensor and actuator networks that monitor and control real-world phenomena, enabling the integration of the physical with the virtual world. They are used in domains like building automation, control systems , remote healthcare, etc., which are all highly process-driven. Today, tools and insights(More)
The industrial adoption of wireless sensor networks (WSNs) is hampered by two main factors. First, there is a lack of integration of WSNs with business process modeling languages and back-ends. Second, programming WSNs is still challenging as it is mainly performed at the operating system level. To this end, we provide makeSense: a unified programming(More)
—This paper describes a two-step process to infer specific technical constraints and parameters needed for a reliable mission-specific design of wireless sensor networks (WSN). As the first step, we propose a new requirement catalog helping end-users to formulate a complete and consistent specification of WSN mission requirements. Its generality allows the(More)
The survival motor neuron (SMN) complex is a macromolecular machine comprising 9 core proteins: SMN, Gemins2-8 and unrip in vertebrates. It performs tasks in RNA metabolism including the cytoplasmic assembly of spliceosomal small nuclear ribonucleoprotein particles (snRNPs). The SMN complex also localizes to the nucleus, where it accumulates in Cajal Bodies(More)
—Wireless sensor network (WSN) programming is still largely performed by experts in a node-centric way using low-level languages such as C. Although numerous higher-level abstractions exist, each simplifying a specific aspect of distributed programming, real applications often require to combine multiple abstractions into a single program. Using current(More)
Wireless sensor networks (WSNs) have been a promising technology for quite some time. Their success stories are, however, restricted to environmental monitoring. In the industrial domain, their adoption has been hampered by two main factors. First, there is a lack of integration of WSNs with business process modeling languages and back-ends. Second,(More)
Experiments under controlled radio interference are crucial to assess the robustness of low-power wireless protocols. While tools such as JamLab augment existing sensornet testbeds with realistic interference, it remains an error-prone and time-consuming task to manually select the set of nodes acting as jammers and their individual transmit powers. We(More)
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