Transmission Management of Delay-Sensitive Medical Packets in Beyond Wireless Body Area Networks: A Queueing Game Approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper, the management of delay-sensitive medical packet transmissions in beyond wireless body area networks (beyond-WBANs) is studied. The considered system addresses the random arrival of sensed medical packets at each WBAN-gateway, which are categorized into different classes (one class of emergent alarms and multiple classes of non-emergent routines). Upon receiving a medical packet, the associated gateway immediately declares a beyond-WBAN transmission request to the base station (BS). With the consideration of medical-grade quality of service (mQoS) requirements, the beyond-WBAN transmissions of heterogeneous packets are scheduled by following the constructed queueing models with specifically designed priority disciplines. By further considering the potential strategic behaviors of smart gateways, a non-cooperative delay-dependent prioritized queueing game for the beyond-WBAN transmission management is formulated. After that, we propose a novel analytical framework to jointly characterize the queueing performance and the properties of the game equilibrium. Theoretical and simulation results justify the feasibility and applicability of our designed transmission management system in beyond-WBANs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it