Mac for Physical-Layer Network Coding in VANETs
Bibliographic record
Abstract
In this paper, the authors present VPNC-MAC, a PNC-based MAC protocol for efficient and reliable periodic beacon broadcasts in VANETs. In addition to PNC-based scheduled transmissions, VPNC-MAC makes use of CSMA/CA to ensure fairness and flexibility with transmissions from CSMA-based nodes. VPNC-MAC consists of two phases: In the setup phase, a quasi-optimal mechanism of selecting a relay node is proposed to take into account both the position, and the remaining time the relay needs for delivering its current beacon. In the packet exchange phase, they define two priority modes to deal with the cohabitation of both the CSMA-based and the VPNC-based nodes, and also with unpredictable events such as emergency broadcasts. Contrary to the high-priority mode, the VPNC-based nodes AIFS in the low-priority mode is set such that the medium access is granted prior to CSMA-based nodes. Simulations results show that the global PRR in high-priority mode outperforms existing MAC.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".