Some side effects of FHSS on Bluetooth networks distributed algorithms
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Bibliographic record
Abstract
We present, in this paper, two case studies showing the substantial impact of some features in the Bluetooth specifications on Bluetooth networks distributed algorithms. These features were often neglected in previous research studies, and are related to the Frequency Hopping Spread Spectrum (FHSS) technique used in Bluetooth. The first case study shows that some small changes in the specifications of Bluetooth can have a substantial positive impact static Bluetooth Scatternet Formation (BSF) algorithms but not the dynamic BSF algorithms. The second case shows that a small change in the implementation of the Bluetooth specifications can have a substantial negative impact on static BSF algorithms. This study calls for more research on the side-effects of using the FHSS technique in Bluetooth and calls for more publishing of similar results to help to understand more distributed algorithms running over Bluetooth networks.
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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 | 0.002 | 0.001 |
| 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