Demonstration of multi-channel medium access control protocol in vehicular power line communication (VPLC) using OMNeT++
Bibliographic record
Abstract
In-vehicle communication is becoming more important as the need to ensure reliable and efficient communications with the increasing number of x-by-wire applications. In order to well maintain in-vehicle communications, it is necessary to evolve protocols for managing communications and, in particular, for granting bus access for real-time applications. In this paper, we describe a demonstration of the multi-channel random access protocol that we have developed for VPLC using OMNeT++. The proposed solution uses a combination of time and frequency multiplexing and consists of two key features: (i) multiple access channels to prioritize transmissions and (ii) a distributed collision resolution algorithm that allows each node to compete for the use of its selected channel. The live demonstration illustrates the contention resolution procedure of in-vehicle communications with different service classes, shows simulation results to validate the advantages of the proposed protocol and provides useful guidelines for developing a robust contention-based protocol for vehicular power line communication systems.
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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 | 0.000 |
| Open science | 0.001 | 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".