Evaluation of ultra-wideband radio for industrial wireless control
Bibliographic record
Abstract
This paper investigates the use of ultra-wideband (UWB) radio for communication in industrial wireless sensor networks (WSNs). OpenWSN is an open-source IPv6 mesh network protocol stack based on IEEE 802.15.4 time slotted channel hopping (TSCH). We adapted OpenWSN to operate an UWB physical layer based on the DecaWave DW1000 UWB transceiver. Experiments were conducted in an industrial steam heating plant environment and an office/laboratory environment to measure the bit error ratio (BER) performance of UWB. The performance of an OpenWSN network using the UWB physical layer was experimentally compared against WirelessHART, an existing industrial wireless automation standard. We found that UWB is a feasible medium for industrial wireless communication in both environments. Experimental results indicate that OpenWSN over UWB achieved better reliability in guaranteed time slots than WirelessHART in an office environment, while WirelessHART lost fewer packets than OpenWSN over UWB.
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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 | 0.002 | 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".