Video Streaming Over Vehicular Ad Hoc Networks Using Erasure Coding
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Video streaming over vehicular ad hoc networks (VANETs) is an attractive application that provides many useful services for drivers. However, many problems need resolving, most of which are related to packet delay and packet loss. Due to the specific environment of VANETs, it is difficult to apply conventional protocols originally developed for the Internet, such as Real-time Transport Protocol (RTP). Previous research works have offered many new protocols to solve this problem. However, most of them cannot make full use of existing Internet video-streaming resources like RTP players and servers. In this paper, we propose the converter model to solve this compatibility issue. Based on this model, we first modify the RTP using the erasure coding (EC) technique to address the high packet loss rate of VANETs. This protocol is known as EC-RTP. Then, we develop two converters; the first stands on the boundary between the Internet and VANETs. It receives the RTP packets from the Internet and translates them to EC-RTP packets, which are shared between vehicles. The second converter receives EC-RTP packets, translates them back to RTP packets, and then sends them to the RTP player.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it