Equation 11 · Part 1 · Edge AI Electronics and Sensor Systems in Practice: Quantization, Power Budgets, and Sensor Front Ends
Symbol E_cycle
What this part means
the energy spent in one full wake-sense-infer-sleep cycle, the first two terms are housekeeping power integrated over the time spent in each state, and inferences each cost a measured .
Its job in the formula
ycle is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Where the article explains it
The more defensible starting point is a duty-cycle energy model built from measured, not assumed, currents at each state: = \, + \, + \, , where is the energy spent in one full wake-sense-infer-sleep cycle, the first two terms are housekeeping power integrated over the time spent in each state, and inferences each cost a measured .
The passage around this formula
The single largest lever most teams have over is not the inference itself but how rarely it needs to run, which is why event-driven sensing — waking the system only when a sensor’s own front end detects a change worth acting on, rather than sampling and running inference on a fixed clock — routinely dominates every optimization applied to the model. That principle carries directly into the next section’s sensor discussion, because some sensor architectures build the event-driven property into the transducer itself rather than leaving it to software.
Learn the underlying idea
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Sources cited in the article section
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