An Improved Communications Model for Underwater Sensor Networks
Why this work is in the frame
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Bibliographic record
Abstract
Underwater sensor network deployment can be quite difficult and expensive, thus much of the early development is limited to simulation work. There are some underwater physical channel models available in various simulation tools, but they are often overly generalized and rely on assumptions about the ocean as a whole. They are not appropriate for practical applications, as the ocean is such a diverse environment. In this paper, we present the development of an improved channel model based on the BELLHOP beam tracing program. The most significant advantage is that it allows the generation of a customized model built for a specific location. Furthermore, we conduct case studies using real environment data from Newfoundland in the Atlantic Region to demonstrate the differences between the proposed model and commonly used NS-2 models, which are of practical significance in real underwater sensor applications. Our results have shown promising applications of this new model for future underwater communications.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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