SmartNode: achieving 802.11 MAC interoperability in power-efficient ad hoc networks with dynamic range adjustments
Why this work is in the frame
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Bibliographic record
Abstract
The standard CSMA/CA based IEEE 802.11 protocol assumes that each node uses a certain fixed (or maximum) transmission power for the transmission of each packet. However, a MAC protocol with power adjustments can have significant benefits towards better power conservation and higher system throughput through better spatial reuse of spectrum. In this work, we propose a power efficient MAC layer algorithm, SmartNode, that is compatible with the basic RTS-CTS-DATA-ACK MAC protocol defined in IEEE 802.11. Our algorithm uses the minimum required power level for the transmission of data packets, which requires special handling for the exchange of control packets. Compared with previously proposed power-controlled MAC protocols, our algorithm does not require multiple data channels at the physical layer so that it is able to inter-operate with regular nodes running the existing IEEE 802.11 MAC protocol. Through extensive performance evaluations, we have demonstrated that our proposed algorithm is effective in a power-controlled ad hoc network - it is able to increase system throughput while conserving power with dynamic power adjustments.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it