Handling handovers in vehicular communications using an IEEE 802.11p model in NS-2
Bibliographic record
Abstract
The focus of this article is to show how a caching mechanism can be applied to vehicular networks operating under the draft standard IEEE 802.11p to reduce the probe delay, and consequently, the handover delay in vehicle-to-infrastructure (V2I) communications. The authors have developed and tested an IEEE 802.11p model within the simulator NS-2 to evaluate the performance of vehicular applications. The simulation framework is to the authors' best knowledge, the first framework open to the research community that deals with handovers in vehicular networks while operating under an access technology for vehicular environments. Simulation results analysis confirm the choice of IEEE 802.11p as the ideal technology for data short-range communications (DSRC) when compared to other variants of the generic IEEE 802.11 standard as well as the technique used to reduce the handover delays, which, if left untreated, would be a serious hindrance to the optimal performance of vehicular applications.
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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 | 0.001 |
| Open science | 0.002 | 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 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".