A reactive solution with a redundancy-based error correction mechanism for video dissemination over vehicular ad hoc networks
Bibliographic record
Abstract
Vehicular Ad Hoc Networks (VANETs) are challenging environments for video dissemination since stringent requirements have to be satisfied. We have designed a protocol that is reactive to the dynamic topology of VANETs, adaptive to the non-uniformity of vehicles density throughout a city or a highway and that deliver packets in time for the playback of video frames. The Reactive, Density-Aware and Timely Dissemination protocol (REACT-DIS) was able to achieve low end-to-end latency with an acceptable number of transmissions. In order to meet delivery ratio requirements, we have used Network Coding to implement an additional redundancy control aimed at handling packet loss. By this manner, lower rates of frame loss were achieved which fulfill delivery ratios requirements for video-streaming while maintaining suitable levels of end-to-end latency and overhead.
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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 | 0.001 |
| 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".