A stable minimum velocity CDS-based virtual backbone for VANET in city environment
Bibliographic record
Abstract
For safety applications, fast delivery is the key requirement that broadcasting protocols in VANET must fulfill. To achieve this goal, most of the existing schemes try to select the optimal next forwarder through a distributed contention phase. This latter adds few units of delay at each hop which is substantial in case of multihop transmission. A more pragmatic approach is to build a stable virtual infrastructure, ahead of time, which will be in charge of relaying messages. In this regard, this paper presents the Minimum Stable CDS-based Virtual Backbone, labeled CDS-SVB, which guarantees fast and efficient broadcasting. It selects vehicles with identical velocities to assure stability as well as low dissemination delay, and it deploys acknowledgments to ensure reliability. Simulation results show that CDS-SVB outperforms DBA-MAC in terms of dissemination delay, backbone's lifetime, and packets delivery ratio.
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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 | 0.000 | 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 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".