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Record W1985958081 · doi:10.1109/wcnc.2014.6953132

Tuning guaranteed time slots of IEEE 802.15.4 for transformer health monitoring in the smart grid

2014· article· en· W1985958081 on OpenAlexaff
Irfan Al‐Anbagi, Melike Erol‐Kantarci, Hussein T. Mouftah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEnergy Efficient Wireless Sensor Networks
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSmart gridComputer scienceQuality of serviceComputer networkGridNetwork packetWireless sensor networkReal-time computingWirelessEngineeringTelecommunicationsElectrical engineering

Abstract

fetched live from OpenAlex

Wireless Sensor Networks (WSNs) are anticipated to become the preferred tools of choice for monitoring and controlling power utility assets in the smart grid due to their versatility. However, in some smart grid monitoring applications, data generation rates could fluctuate rapidly due to the sudden occurrence of critical faults or failures in the monitored equipment. As a consequence, critical data could experience excessive delays because of this increase in the packet arrival rates. In this paper, we present an Adaptive Guaranteed Time Slot (GTS) allocation scheme (AGTS) for IEEE 802.15.4-based WSNs used in high traffic intensity smart grid monitoring applications. AGTS scheme can adaptively reduce the end-to-end delay and flexibly tune the GTS to provide the required Quality of Service (QoS) differentiation to delay critical smart grid monitoring applications. The proposed scheme can adaptively allocate the needed GTS to nodes transmitting high priority traffic or draw back the unneeded GTS.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score0.418

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 science0.0010.000
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 head0.018
GPT teacher head0.253
Teacher spread0.235 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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