A Distributed Spectrum Sharing Method for Improving Coexistence of IEEE 802.15.4 Networks
Bibliographic record
Abstract
Defined for low-rate, low-power and short-range applications, IEEE 802.15.4 offers complementary services to IEEE 802.11 and IEEE 802.15.1. However, since IEEE 802.15.4-based wireless personal area networks (WPANs) are very prone to interference, efficient coexistence of IEEE 802.15.4 WPANs in the ISM band is a challenging problem. In this work, we propose a distributed coexistence method for IEEE 802.15.4 operating in the beacon- enabled mode. In this method, each network coordinator learns about the surrounding environment, and schedules its superframe properly to minimize the mutual interference. Using this method, multiple IEEE 802.15.4-based WPANs can colocate in the same logical channel, hence, increasing their coexistence capability in the ISM band. The proposed method considers spatial distribution of the WPANs and a physical interference model. Also, the method does not require any global information about the coexisting WPANs. We evaluate the performance of the proposed method through simulations.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".