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Record W2016739648 · doi:10.1109/glocom.2006.792

WLC30-6: Admission Control in Power Constrained OFDM/TDMA Wireless Mesh Networks

2006· article· en· W2016739648 on OpenAlex
Dusit Niyato, Ekram Hossain

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

VenueGlobecom · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Network Optimization
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsComputer scienceWireless mesh networkRouterComputer networkNetwork packetSleep modeMesh networkingSwitched meshMarkov decision processTime division multiple accessShared meshMarkov processPower (physics)WirelessWireless networkPower consumptionTelecommunications

Abstract

fetched live from OpenAlex

We investigate connection-level, packet-level, and energy-saving performances in a power constrained (e.g., solar-powered) OFDM/TDMA wireless mesh network. When a mesh router goes to the sleep mode to reduce energy consumption, packet-level performances (as observed by a mesh client) will be degraded since in sleep mode, a mesh router can neither receive nor transmit packets. An analytical model is developed to analyze the relationship among the packet-level and the connection-level performances. Based on the analytical model, the system performance is analyzed in terms of system utility. To this end, an optimization problem is formulated by using a Markov decision process to choose the optimal policy on sleep management and maximum number of admissible connections at a mesh router so that the system utility is maximized.

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 categoriesMeta-epidemiology (narrow)
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 score0.889
Threshold uncertainty score1.000

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 head0.003
GPT teacher head0.188
Teacher spread0.185 · 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