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Limiting the energy consumption of IoT nodes is a hot topic in green computing. For battery-powered devices this necessity is obvious, but the enormous growth of the number of IoT nodes makes energy efficiency important for every node in the IoT. In this paper, we show how we can automatically compute execution intervals for our task-oriented programs for the IoT. These intervals offer the possibility to save energy by bringing the microprocessor driving the IoT node into a low-power sleep mode until the task need to be executed. Furthermore, they offer an elegant way to add interrupts to the system. We do allow an arbitrary number of tasks on the IoT nodes and achieve significant reductions of the energy consumption by bringing the microprocessor in sleep mode as much as possible. We have seen energy reductions of an order of magnitude without imposing any constraints on the tasks to be executed on the IoT nodes.
Microcontroller Units (MCUs) are all around us powering many of our so called smart devices. Most programs running on MCUs are control applications performing multiple jobs at the same time. Examples of these jobs are: blinking a status LED, reading button states, talking to sensors or communicating with the world. Often these jobs are dependent on each other and require communication between them. Small MCUs have no support for multiple threads, therefore the programmer needs to manually interleave the tasks. The job structure bears great similarities with tasks in Task Oriented Programming (TOP). Tasks representing work that needs to be done, can be interleaved and combined to form compound tasks. The embedded Domain Specific Language (eDSL) mTask is a TOP language that works on even the smallest of MCUs. This paper explains how to write multi-task control applications for MCUs using a TOP language such as mTask.
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