Equation 11 · Edge AI Electronics and Sensor Systems in Practice: Quantization, Power Budgets, and Sensor Front Ends
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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 . Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.
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Symbol E_cycle
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 .
subscript
The lower label selects a particular version, component, or indexed member of the quantity. For example, x₀ and xₜ can be values at different positions.
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What the article says around this equation
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.
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