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Record W2120891293 · doi:10.1504/ijahuc.2010.031224

Transport protocol for real-time communication in Wireless Sensor Networks

2010· article· en· W2120891293 on OpenAlexaff
Paul Stoina, Alejandro Quintero, Luis Cobo

Bibliographic record

VenueInternational Journal of Ad Hoc and Ubiquitous Computing · 2010
Typearticle
Languageen
FieldComputer Science
TopicEnergy Efficient Wireless Sensor Networks
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsComputer scienceProtocol (science)Computer networkThroughputUser Datagram ProtocolWireless sensor networkReal-time communicationWirelessCommunications protocolWireless networkReal Time Streaming ProtocolReal-time computingDistributed computingInternet protocol suiteTelecommunicationsThe Internet

Abstract

fetched live from OpenAlex

Wireless sensors need data that arrive in time. This demand is fulfilled by a real-time communication for applications that use WSN technologies. The protocols, TCP and UDP, were not designed for real-time communication in wireless networks. The proposed protocol can manage data unit delays by considering time and space evaluations. The protocol designed in this study is compared with the UDP protocol. Both protocols are compared for the data units travel times and for the timelyput, which is the throughput of data units which arrive in time and which can be used by the application. This novel protocol achieves better results.

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: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.569

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 head0.010
GPT teacher head0.285
Teacher spread0.275 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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