Reliable Transport Protocol Based on Loss-Recovery and Fairness for Wireless Body Area Networks
Bibliographic record
Abstract
The transport protocols for Wireless Body Area Networks (WBANs) must provide end-to-end reliability and Quality of Service (QoS) for the whole network. This task can be accomplished through the reduction of the PLR (Packet Loss Ratio) and the latency while keeping fairness and low energy consumption between the nodes. The IEEE 802.15.6 Standard supports QoS, but it does not suggest any transport protocol for WBANs. This paper proposes a transport protocol for WBANs based on an energy-efficient and emergency-aware MAC (Medium Access Control) protocol and the IEEE 802.15.6 Standard. This new transport protocol is a cross-layer design that uses loss-recovery and fairness to provide reliability to the network. The protocol detects out-of-sequence packets and requests retransmission of the lost packets. It outperforms the MAC protocol and the IEEE 802.15.6 Standard in the percentage of the packet loss with and without emergency traffic, while keeping a similar energy consumption.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".