Scheduled Access Using the IEEE 802.15.4 Guaranteed Time Slots
Why this work is in the frame
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Bibliographic record
Abstract
In this paper we consider the design of IEEE 802.15.4 wireless sensor networks (WSNs) where nodes belong to different priority classes. Each class is characterized by a specified average data transmission rate requirement, and the overall network forms a multi-level tree. We devise a framework for constructing TDMA schedules for solving the underlying rate differentiation problem using the GTS facility of the standard. Our framework defines a class of schedules, called flow balanced schedules, that are efficient in terms of the delay incurred by packets transmitted to the sink node, and the number of packets queued in each node. We identify two useful optimization aspects that help in constructing schedules with short cycle length. We then outline an algorithm, called GTS-TDMA, which integrates two algorithms that take advantage of the identified optimization aspects, and present simulation results that show the performance gains of the devised algorithm.
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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 | 0.001 | 0.001 |
| Open science | 0.002 | 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