Uniformity and Efficiency of a Wireless Sensor Network's Coverage
Why this work is in the frame
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Bibliographic record
Abstract
The primary contribution of this paper is in a wireless sensor network's coverage analysis method, which focuses on both the coverage itself and its uniformity and efficiency. Sensor death is typical in the life cycle of a wireless sensor network. Hence it is important to take note of what portion of the target region is monitored by the sensor network both initially and eventually. This paper proposes a useful wireless sensor networks' coverage analysis method, which not only focuses on the coverage itself, but also on its uniformity and efficiency. In the process, several questions such as whether the monitored region is uniformly distributed throughout the target region, or whether there are locations in the target region that are overmonitored, are answered. The paper also specifies for which type of applications the proposed coverage analysis method will be most suitable.
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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 | 0.001 | 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 | 0.000 |
| 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