Prohibition-based MAC protocols for QoS-enhanced mesh networks and high-throughput WLANs
Bibliographic record
Abstract
To achieve high throughput in wireless networks, collision rate must be very small, while communication overheads (e.g., RTS/CTS dialogues) and channel idleness (e.g., due to backoff) should be both relatively small as compared to data packet durations. Low collision rate is also essential to QoS provisioning in any network employing exponential backoff or a similar strategy. Our proposed solution to the preceding contradicting requirements is to employ prohibition-based mechanisms, which replace the functionality of RTS/CTS dialogues that have been shown to suffer from high communication overhead but only provide limited protection against the hidden terminal problem while in multihop networking environments. The resultant prohibition-based MAC protocols combine binary countdown with busytone, thus inheriting important advantages from both worlds including collision freedom/controllability, prioritization capability, and elimination of hidden terminals. They can also support asynchronous operations which are of practical importance.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".