A Reliable and Interference-Aware Routing Protocol for Underwater Wireless Sensor Networks
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we propose a reliable and interference-aware routing protocol for underwater wireless sensor networks (UWSNs). Proposed protocol follows end-to-end path from source node to sink and selects next forwarder node of a data packet on the basis, having already established a path to sink. In this way, the problem of encounters void hole in depth based routing protocol is eliminated. Furthermore, during the selection of forwarding node, channel interference is also considered as routing metric to provide reliable communication. Therefore, proposed scheme reduces the probability of collision at the network layer, by selecting a neighbor node as the next forwarder of the data packet from the source node to the destination where the chance of channel interference is minimum. Simulation results verify the effectiveness of the proposed scheme in term of energy consumption, end-to-end delay and packet delivery ratio especially in a sparse 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 | 0.000 | 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