V-Square: An Accurate Time Synchronization Protocol for Wireless Video Sensor Networks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Wireless video sensor networks (WVSN) can retrieve video/images from environment of interest, which can greatly enhance our knowledge of the physical world and pave the way for new applications. Since video signal is sensitive to temporal differences between sensor nodes and sink nodes, time synchronization is a critical service for WVSN. However, the existing wireless sensor network (WSN) time synchronization protocols cannot fulfill WVSN's new synchronization requirements. In this report, a new time synchronization technique, V-square, is proposed. Compared with existing WSN time synchronization protocols, V-square can reduce error in estimations on local clock parameters with very low communication and computation overhead. The performance of V-square is examined through both analysis and simulations.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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