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Today's sensing applications require low energy consumption while managing various types of tasks, ranging from processing and communication, to actuation and sensing. In this paper the authors develop a method to trade off energy availability, from both energy harvesting and storage, with the energy costs of the tasks the sensor node needs to accomplish. The strategy consists of three main parts: A solar energy harvesting predictor, an energy recharge estimator, and an energy management scheme that takes into account task characteristics and external event triggers. The results show that the solar energy predictor and energy recharge estimator give results within 10% of the actual values.
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