Impact of Ambient Light on Outdoor VLC Based Vehicular Movement
Bibliographic record
Abstract
Visible Light Communication (VLC) offers a sustainable and interference-free approach for outdoor sensing and navigation, particularly in applications such as smart farming and autonomous mobility. Despite its advantages of high bandwidth, energy efficiency, and compatibility with existing LED infrastructure, outdoor deployment remains challenging due to variations in sunlight and ambient illumination. This paper investigates how ambient light intensity, transmission distance, and receiver motion affect the performance of outdoor VLC links. Real irradiance datasets and simulation-based modeling are used to capture seasonal and diurnal variations and to quantify received power degradation under different lighting conditions. Results indicate that Ambient Light Intensity (ALI) is the dominant factor influencing link reliability, with significant power loss observed at midday and during high-irradiance periods, while lower illumination provides more stable connectivity. The findings emphasize the need for adaptive filtering, dynamic modulation, and receiver optimization to maintain communication stability. This work establishes a practical framework for designing resilient, energy-efficient VLC systems suited for outdoor environments, supporting applications in precision agriculture, vehicular networks, and sustainable infrastructure.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".