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Record W2602489354 · doi:10.1109/vtcfall.2016.7881164

Performance Study of IEEE 802.15.4/4g Waveforms over the Mobile Underground Mine Radio-Channel

2016· article· en· W2602489354 on OpenAlexaff
M. Mezghanni, Nahi Kandil, Nadir Hakem

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsComputer scienceIEEE 802.15Computer networkIEEE 802.11uPhysical layerThroughputIEEE 802.11w-2009Personal area networkNon-line-of-sight propagationChannel (broadcasting)IEEE 802.1XWirelessIEEE 802.11g-2003IEEE 802.11b-1999IEEE 802IEEE 802.11Bit error rateWireless sensor networkTelecommunications

Abstract

fetched live from OpenAlex

This study evaluates the performance of an IEEE 802.15.4/4g low-rate wireless personal area network (LR-WPAN) physical layers to support Wireless Sensor Networks (WSN) applications deployed in underground mines. Two physical layer models were constructed based on the IEEE 802.15.4 and IEEE 802.15.4g specifications. An appropriate channel model for the underground mine environment was selected and presented for both line of sight and non-line of sight; it was also enhanced to support mobility. Extensive computer simulations were conducted for different scenarios to investigate both LR-WPAN standards' performances in terms of bit error rate and throughput.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.219
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2016
Admission routes1
Has abstractyes

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