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Record W1965510488 · doi:10.1109/aina.2014.53

Investigating Impact of ACK in Non-beacon Enabled Slotted IEEE 802.15.4

2014· article· en· W1965510488 on OpenAlexaff
Danish Mahmood, K. Latif, Nadeem Javaid, Shahid Qureshi, Imad E. Ahmed, Umar Qasim, Zahoor Ali Khan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsDalhousie UniversityUniversity of Alberta
Fundersnot available
KeywordsComputer scienceComputer networkNetwork packetScalabilityIEEE 802.15RoundingTransmission (telecommunications)Channel (broadcasting)Control channelCarrier sense multiple access with collision avoidanceIEEE 802.11Frame (networking)WirelessTelecommunicationsThroughputWireless sensor networkTelecommunications link

Abstract

fetched live from OpenAlex

IEEE 802.15.4 standard is gaining attention of researchers day by day due to its wide application arena. Till now numerous studies have conducted and yet lot more is in progress for understanding and rounding off sharp edges of this standard. This study briefly describes the standard i.e. IEEE 802.15.4 and explicitly non-beacon enabled slotted CSMA/CA. In slotted or non-beacon enabled CSMA/CA there are further two flavors. One deals with transmission of an extra control packet (ACK frame) on successfully reception of data packet however, other flavor do not transmit any control packet representing successful transmission. In later part of this paper, extensive simulations are conducted in comparison with these two flavors. Our studies imply to use non-ACK mode in low scalable environment ensuring high probability of getting channel access, low delay and better good put.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.282
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), 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
Published2014
Admission routes1
Has abstractyes

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