Queueing analysis for medical data transmissions with delay-dependent packet priorities in WBANs
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Bibliographic record
Abstract
In this paper, we propose a queueing model for analyzing performances of prioritized data transmissions in Medical Wireless Body Area Networks (mWBANs). Unlike the existing works, we consider the medical packet priority jointly with the delay-dependent dynamic priority in transmission scheduling at sensor nodes. The interaction between priority queues and instantaneous delay limits make the analysis much more complicated. Based on the transient queueing analysis, we develop a buffer-overflowing queueing principle to approximate the over-deadline queueing principle in this prioritized transmission scheduling system. Numerical and simulation results show that the proposed approximation queueing model works as a good fit to this prioritized data transmission system in mWBANs, and the proposed delay-dependent falling priority principle makes medical packets' transmission more reasonable in terms of timeliness issues.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 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