Hendrik Salomon

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A lifetime of several years for wireless sensor nodes can be achieved if their activity period is minimized. This can be done by using low duty cycle protocols. One of the challenges of these low duty cycle protocols is the synchronization of wake-up times. This becomes even more demanding if a wired central sink, which takes care of the schedule, is(More)
Protocols for sensor networks are commonly coupled to the specific operating system (OS), for instance TinyOS, involving some drawbacks. First, programmers must learn OS architecture, programming guidelines, sometimes a new programming language, etc. Second, protocols run on the specific OS only, i.e. on the hardware supported by the OS. Third, only(More)
Sensor nodes compensate clock drift with guard times (GT), which results in idle listening. By applying prediction methods nodes can limit drift uncertainty for upcoming frames and shorten GT. However, a common solution based on linear regression requires floating-point arithmetic, i.e. large computation and memory overhead. We present an approach for drift(More)
Many applications require a lifetime of several years from a sensor network while expecting low and guaranteed end-to-end delays between sources and a sink. Obviously, these two parameters - lifetime and delay - contradict each other. In this work we present and evaluate a solution that limits the end-to-end delays and nevertheless achieves a long lifetime.(More)
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