Reliable broadcasting in VANETs using Physical-Layer Network Coding
Bibliographic record
Abstract
In this paper, we present a PNC-based MAC protocol for VANETs (VPNC-MAC) which makes use of the PNC to ensure efficiency and reliability of periodic beacon transmissions in VANETs. The VPNC-MAC protocol basically consists on two phases: a setup phase and the heartbeat packet exchange phase. During the setup stage, VPNC-MAC uses a location-based OFDMA signaling technique to guarantee a quick and non bandwidth consuming setup. In addition, the packet exchange phase in VPNC-MAC contains two periods of variable and adjustable length. The fist period is a guaranteed time slot period, called the VPNC-MAC session, in which the nodes exchange their packets using PNC. The second period is a contention period reserved to nodes unable to transmit during the VPNC-MAC session. The simulation results shows that the VPNC-MAC protocol outperforms the optimal CSMA (ideal TDMA) in terms of capacity of transmissions supported within a fixed duration, and overall packet reception rate.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".