Simple and effective QoS schemes supporting VoIP traffic in IEEE 802.11 network
Bibliographic record
Abstract
This thesis presents several simple and effective QoS schemes aimed to support VoIP in the IEEE 802.11 network. The proposed schemes are called dynamic backoff adjustment (DBA), high priority DCF (HP-DCF), adaptive DCF (ADCF) and direct priority DCF (DP-DCF). All four schemes utilize the contention mechanism and are compatible with the IEEE 802.11 standard. The first three schemes use dynamic adjustment approach to improve the delay of high-priority traffic in infrastructure network and the last schemes is designed for use in ad-hoc network. From the simulation results, the DBA scheme shows better bandwidth utilization over DCF and provides better differentiated service performance than EDCF. Whereas, the HP-DCF and AP schemes give better protection of the real-time traffic classes from the excessive best-effort traffic load in the infrastructure mode. Moreover, the DP-DCF also shows its ability in protecting the real-time traffic class in the ad-hoc environment.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".