The impact of discrete clock on time synchronization in wireless sensor networks
Why this work is in the frame
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Bibliographic record
Abstract
As in many other distributed systems, time synchronization is an important service in wireless sensor networks. Most wireless sensor network applications are targetted at retrieving information from surrounding environments. In many situations, the temporal property of a physical event is critical to wireless sensor network applications. There are many time synchronization techniques for wireless sensor networks in literature. However, all of these techniques are based on continuous clock model, which cannot best describe the characteristics of system time in wireless sensor networks. In this paper, we propose a novel discrete clock model. This model is introduced by a formal definition and the impact of using discrete clock in time synchronization for wireless sensor networks is analyzed. A novel clock parameter estimation technique is also presented, which is based on the discrete clock model. Furthermore, the performance of the proposed technique is verified by simulation. According to our simulation, the proposed technique can achieve same synchronization precision with less message exchanges than existing protocols.
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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 | 0.000 |
| 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