Assessing the Effectiveness of Channel Hopping in IEEE 802.15.4 TSCH Networks
Bibliographic record
Abstract
Time slotted channel hopping is an enhanced access mechanism for IEEE 802.15.4 that improves many aspects of the original protocol, like determinism and power consumption. Besides preventing collisions, time slotting allows motes to stay asleep for most of the time. In addition, channel hopping achieves more stable communication, in terms of packet losses and transmission latency, in spite of wireless spectrum variations. In this paper, the specific effects of the latter mechanism are investigated from both qualitative and quantitative points of view. In particular, a thorough experimental campaign was carried out on real devices, deployed in a real environment and performing realistic data exchanges, when they are exposed to different interference conditions, to assess the benefits it brings over the case when transmissions are performed on a fixed channel. Experimental results confirm that, when the transmission frequency is kept repeatedly changing, communication quality is sensibly less affected by co-located Wi-Fi infrastructures, which makes the network behavior more predictable and hence intrinsically more dependable
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".