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Record W2148634252 · doi:10.1109/glocom.2008.ecp.974

V-Square: An Accurate Time Synchronization Protocol for Wireless Video Sensor Networks

2008· article· en· W2148634252 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Time Synchronization Technologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputer scienceWireless sensor networkSynchronization (alternating current)Real-time computingOverhead (engineering)Time synchronizationKey distribution in wireless sensor networksClock synchronizationComputer networkWirelessData synchronizationWireless networkTelecommunicationsChannel (broadcasting)

Abstract

fetched live from OpenAlex

Wireless video sensor networks (WVSN) can retrieve video/images from environment of interest, which can greatly enhance our knowledge of the physical world and pave the way for new applications. Since video signal is sensitive to temporal differences between sensor nodes and sink nodes, time synchronization is a critical service for WVSN. However, the existing wireless sensor network (WSN) time synchronization protocols cannot fulfill WVSN's new synchronization requirements. In this report, a new time synchronization technique, V-square, is proposed. Compared with existing WSN time synchronization protocols, V-square can reduce error in estimations on local clock parameters with very low communication and computation overhead. The performance of V-square is examined through both analysis and simulations.

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.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.648
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.275
Teacher spread0.251 · 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