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Battery-powered embedded systems require low energy usage to extend system lifetime. These systems must power many components for long periods of time and are particularly sensitive to energy use. Recent techniques for reducing energy consumption in wireless sensor networks, such as aggregation, require additional computation to reduce energy intensive radio transmissions. Larger demands on the processor will require more computational energy, but traditional energy reduction approaches, such as multi-core scaling with reduced frequency and voltage may prove heavy handed and ineffective for motes (sensor network nodes).
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