Aircraft wireless networks for safety-critical systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Wireless avionics intra communication (WAIC) connects avionics integrated on board a single aircraft in a closed exclusive wireless network in lieu of heavy and expensive wired deployments.Recently, the International Telecommunication Union (ITU) approved the frequency band 4.2-4.4GHz for WAIC which promises weight savings and cost reductions.However, wireless avionics must meet extremely high reliability requirements for flight certification by safety aviation authorities.Current industrial wireless networks, which are based on IEEE 802.15.4 and IEEE 802.11 standards, have been proposed as potential solutions for safety-critical systems.A promising candidate is IEEE 802.15.4e which uses Time-Slotted Channel Hopping (TSCH) to provide reliable packet transmission.We performed experiments consisting of IEEE 802.11 and IEEE 802.15.4e and utilized a recently published mathematical model to evaluate their failure probability with respect to loss of packets.Our results indicated that the allowed packet loss probability for IEEE 802.11 is between 0.045 and 0.35 for safety-critical systems to meet the DO-178C reliability standard.Furthermore, the IEEE 802.15.4e with TSCH protocol respects the DO-178C reliability standard with a failure probability of 10 -5 per hour but failed the DO-160G standard due to electromagnetic interference.my thesis thoroughly, and for his valuable recommendations.To my RSSL peers, thank you to Alex, Derek, and Shabbir.We had some very interesting discussions late evenings and during weekends.I'm glad to have spent time together during my research journey.To my Montreal colleagues, I would like to thank Stphane and Yannick
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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