An Adaptive and Energy-Efficient Algorithm for Surface Gateway Deployment in Underwater Optical/Acoustic Hybrid Sensor Networks
Why this work is in the frame
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Bibliographic record
Abstract
Underwater optical/acoustic hybrid sensor networks (UOASNs) play a crucial role in the tradeoffs among transmission rate, communication range, and bandwidth. The reasonable deployment of surface gateways, such as proper number and well-distributed locations, significantly decreases the error probability and propagation delay during transmission. In this letter, an adaptive and energy-efficient scheme for dense surface gateway deployment (SGD) is presented for the UOASN. First, an affiliated-node discovery algorithm is proposed to calculate the distribution coefficient of the nodes, which directly influences the SGD. Then, the SGD applied to the UOASN is formulated as a mixed programming problem, and solved by fuzzy theory to optimize the quantity of the surface gateways and the energy consumption of the network. Extensive simulation results are demonstrated to validate the effectiveness of the proposed scheme.
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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 | 0.001 | 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