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This paper presents an energy-adaptive performance management technique for the design of embedded signal processing systems powered by renewable energy sources. By jointly considering the nondeterministic characteristics of renewable energy and the unique relationship between signal processing performance and the required energy consumption, a progressive performance tuning approach is developed...
A new adaptive thresholding power management (ATPM) scheme is proposed to maximize the data rate of RF circuits in distributed embedded systems powered by renewable energy. Considering time-varying fading channels and statistical energy harvesting processes, we propose to turn on RF circuits only when the channel gain is higher than a threshold, and adjust the RF power according to the energy availability...
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