Adaptive 802.15.4 backoff procedure to survive coexistence with 802.11 in extreme conditions
Why this work is in the frame
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Bibliographic record
Abstract
With the increasing deployment of smart devices for the Internet of Things (IoT) using 802.15.4 in spaces where 802.11 devices are already deployed, wireless channels are getting densely populated in the 2.4 GHz ISM band, especially when nodes operate in saturation conditions. In addition to the fact that 802.15.4 and 802.11 use different CSMA/CA protocols with considerable different backoff durations, 802.15.4 is designed for ultra-low power, low rate WPAN while 802.11 is designed for higher power and high data rate WLAN. In this paper, we aim to tackle the resulting issues due to this asymmetric coexistence. Especially we propose a simple but efficient backoff mechanism for 802.15.4 in which the backoff duration is adaptively chosen, when WiFi transmissions are detected during the clear channel assessment. Through extensive simulations, we demonstrate the efficiency of the proposed adaptive backoff mechanism and the considerable improvements of the 802.15.4 performance even in case of erroneous decision regarding the type of packet detected during the clear channel assessment.
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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 | 0.001 |
| 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