High-Efficiency Power Amplifier for Wireless Sensor Networks
Bibliographic record
Abstract
We designed a high-efficiency class-E switched-mode power amplifier for a wireless networked micro-sensor system. In this system, where each sensor operates using a micro-battery, has local processing capability, and contains on the same chip integrated sensing elements and an RF transmitter, most of the power is dissipated by the transmitter. The proposed amplifier achieves 92.4% maximum drain efficiency and can vary the transmitted power between -4.2 to -0.2 dBm with almost constant efficiency. This last feature is obtained by controlling the modulation duty cycle and by switching the capacitors' values in the parallel circuit. The possibility of choosing the transmitted power depending on the distance from a base station or other sensors and on the charge level of the battery, combined with power aware network protocols, improves network lifetime, reliability, and adaptability. The amplifier is designed in 0.18 /spl mu/m CMOS process and operates with a nominal 1.2 V supply.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".