Racing to Sleep
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A detailed walkthrough of low-power embedded system design using a fictional wildlife sensor device (BBB2000) as a case study. Covers building a power/energy budget by accounting for all system components — sensors, camera, motor, LoRa radio, SD card, and MCU. Key findings: radio data transmission dominates energy use (81% of total), not the MCU quiescent current. Explains the 'race to sleep' principle — for computation-bound tasks, running the CPU at full speed finishes work faster, reducing static power overhead and saving total energy. Also covers wake-up costs (PLL lock time, RAM context loss in deep sleep modes), trade-offs between sleep modes, and practical current measurement techniques. Emphasizes making a real power budget rather than guessing, and optimizing the largest energy consumers first.
