Reliability evaluation of wireless multimedia sensor networks based on instantaneous availability
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
With the widespread application of wireless multimedia sensor networks, the issue of network reliability has attracted more and more attention. In this article, a new reliability evaluation method of wireless multimedia sensor network is proposed. The failure is regarded as a percolation process, and the percolation threshold is taken as the failure indicator in this method. Accordingly, instantaneous availability model of wireless multimedia sensor network is established combining percolation theory and Markov process on the basis of reliability characteristics analysis. By Laplace transformation, the analytic solution is worked out, and one numerical example is given to verify the model comparing with existing studies. Finally, numerical simulation analyses are used to show the impact of different parameters on instantaneous availability, and the ways to suppress fluctuations are obtained by comparing with fluctuation images.
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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 | 0.004 | 0.001 |
| 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 | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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