MétaCan
Menu
Back to cohort
Record W2097706559 · doi:10.1109/pacrim.1989.48293

Analysis of carrier sense multiple access with priority acknowledgements (CSMA/PA) on noisy two-way channels with finite user population

2003· article· en· W2097706559 on OpenAlexaff
J.O. Onunga, R.W. Donaldson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComputer networkComputer scienceNetwork packetChannel (broadcasting)Carrier sense multiple access with collision avoidancePopulationThroughputSynchronization (alternating current)Bandwidth (computing)Transmission (telecommunications)Media access controlNode (physics)Topology (electrical circuits)WirelessTelecommunicationsEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

Carrier sense multiple access (CSMA) is discussed as an efficient and simple means for decentralized access control to a common communication channel shared by several users. The delay and throughput performance of CSMA with priority acknowledgments (CSMA/PA), a scheme which enables message and acknowledgment packets to share the same communication channel bandwidth effectively, are calculated. The analysis includes the effect of channel errors on both message and acknowledgment packets, user population size and modem detection, and synchronization delay. Excellent agreement is observed between the analytical results and those obtained from measurements on an actual noisy five-node intrabuilding power line LAN operating at transmission rates ranging from 1.2 to 9.6 kb/s.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.025
GPT teacher head0.292
Teacher spread0.267 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

Explore more

Same topicWireless Networks and ProtocolsFrench-language works237,207