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Record W2115845373 · doi:10.1109/bliss.2008.11

WLAN for Earth Observation Satellite Formations in LEO

2008· article· en· W2115845373 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsnot available
FundersEngineering and Physical Sciences Research CouncilFederation for the Humanities and Social Sciences
KeywordsSatelliteComputer scienceThroughputLow earth orbitPhysical layerProtocol (science)Interference (communication)Computer networkCommunications satelliteKey (lock)Earth observationReal-time computingRemote sensingDistributed computingWirelessTelecommunicationsAerospace engineeringEngineeringChannel (broadcasting)GeologyComputer security

Abstract

fetched live from OpenAlex

This paper is concerned with adapting the IEEE 802.11 protocol for inter-satellite links in distributed satellite formations for rapid response and disaster monitoring from low Earth orbit. Key optimisation approaches such as tuning of the IEEE 802.11 physical layer parameters and enhancing the data link layer are described. Integration of smart antennas with the medium access control protocol is also considered aiming at increasing the capacity and throughput while minimizing interference and collision in close proximity inter-satellite links. Finally, simulation results are presented to demonstrate the effectiveness of the proposed approaches for satellite formations.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.739
Threshold uncertainty score0.163

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.069
GPT teacher head0.272
Teacher spread0.203 · 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

Quick stats

Citations9
Published2008
Admission routes1
Has abstractyes

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