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Record W2159161342 · doi:10.1109/glocom.2008.ecp.139

Design of Wireless Mesh Networks: Expansion and Reliability Studies

2008· article· en· W2159161342 on OpenAlexaff
Ahmed Beljadid, Abdelhakim Hafid, Michel Gendreau

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMobile Ad Hoc Networks
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsWireless mesh networkComputer scienceComputer networkReliability (semiconductor)Node (physics)WirelessWireless networkNetwork planning and designChannel (broadcasting)Routing (electronic design automation)Distributed computingPower (physics)TelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Our goal is to propose a unified/generalized model for the Wireless Mesh Networks (WMNs) design problem taking into account all the parameters that have a significant impact on WMNs. In the WMNs design literature, different studies take into account traffic demand, interference, multi-channel, transmission power, potential locations of wireless routers/gateways and node's characteristics (number of radios/node and number of channels/radio). In this paper, we introduce two new parameters: expansion and reliability. We will focus on refining the WMN design taking into account traffic expansion, geographic expansion and reliability without increasing the investment cost of the design.

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 score0.835
Threshold uncertainty score0.358

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 head0.034
GPT teacher head0.257
Teacher spread0.223 · 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

Citations10
Published2008
Admission routes1
Has abstractyes

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