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Record W2080970147 · doi:10.1109/ntms.2014.6814004

Aerial Mast vs Aerial Bridge Autonomous UAV Relay: A Simulation-Based Comparison

2014· article· en· W2080970147 on OpenAlexaff
Chahine Ben Moussa, François Gagnon, Ouassima Akhrif, Samuel Gagné

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUAV Applications and Optimization
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsNon-line-of-sight propagationRelayComputer scienceReal-time computingSIGNAL (programming language)SimulationTelecommunicationsWireless

Abstract

fetched live from OpenAlex

This paper provides a simulation-based comparison between two strategies for an autonomous mobile aerial node communication relay between two mobile ground nodes with non-line-of-sight (NLOS). For both strategies, the airborne relay is considered as a signal repeater between the two ground mobile vehicles. The first strategy (aerial bridge) implies that an unmanned aerial vehicle (UAV) is trying to keep an optimal position between the two ground nodes while in the aerial mast strategy; the UAV is always placed directly above one of the ground vehicles. The comparison is based on Winner II propagation model applied to a 2.4 GHz waveform. Simulation results demonstrate in each case the variation of transmitted signal strength due to ground vehicles and UAV movement. Trajectories were generated randomly for both ground nodes on a street map of an urban area in order to achieve a statistical analysis of both strategies and discuss their advantages in terms of signal transmission and UAV navigation control.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score0.555

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 communication0.0000.000
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 head0.013
GPT teacher head0.236
Teacher spread0.224 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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