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Record W4285464683 · doi:10.32920/ryerson.14662155

Performance Evaluation Of 802.11P Vanets With Different Duty Cycles

2021· preprint· en· W4285464683 on OpenAlexaff
Rishabh Kumar

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDuty cycleRevenueComputer scienceControl (management)Service (business)Work (physics)IEEE 802.11pDutyComputer networkTransport engineeringTelecommunicationsVehicular ad hoc networkBusinessEngineeringWireless ad hoc networkWirelessElectrical engineering

Abstract

fetched live from OpenAlex

With the improvement in technology, the number of vehicles on the roads has increased tremendously over the last decade. As large numbers of vehicles are on the road it has become almost a necessity to improve the driving conditions, provide all the facilities and to make sure that driving is safe for drivers around the world. To utilize this information the vehicle has to alternately switch between control (CCH) and service channels (SCH) effectively. So, in our work we evaluate the performance of vehicles on control and service channels with different duty cycle such that no critical message is missed and multimedia applications can be used concurrently. For this purpose we developed 802.11p simulator and the experiments proved that CCH should use duty cycle of 0.6 as delay tolerant data has to be transmitted over it and SCH should work on 0.3 which is delay insensitive, but generates revenue for the industry by using different multimedia applications as requested by the user.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.001
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 head0.044
GPT teacher head0.292
Teacher spread0.248 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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