A distance-based interest forwarding protocol for vehicular information-centric networks
Why this work is in the frame
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Bibliographic record
Abstract
Recently, information-centric networking has been proposed to VANETs scenarios for improving content delivery of infotainment applications. Using the ICN paradigm, content-oriented search and in-network caching have the potential to improve content delivery in spatial- and time-dependent applications for VANETs and smart transportation. However, uncontrolled Interest packet transmissions for content search will result in a waste of resources and diminish the performance of VANETs' applications. In this paper, we propose a lightweight protocol to tackle the Interest broadcast storm problem during a content search in information-centric VANETs. The proposed protocol considers the distance between a current forwarder and its neighboring vehicles to opportunistically control redundant Interest packet transmissions in vehicular named data networking. Simulation results show that the proposed protocol improves the content delivery rate by 60% while decreases the Interest packet transmissions by 40%, in the scenario of a low number of content producers in the network.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it