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Record W2163753175 · doi:10.1109/qshine.2005.5

Access Point Power Saving in Solar/Battery Powered IEEE 802.11 ESS Mesh Networks

2005· article· en· W2163753175 on OpenAlexaff
Yangyang Li, T.D. Todd, Dongmei Zhao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsMcMaster University
Fundersnot available
KeywordsComputer scienceComputer networkBattery (electricity)Protocol (science)IEEE 802.11IEEE 802.11sMesh networkingPower (physics)IEEE 802Real-time computingWireless mesh networkWirelessWireless networkTelecommunications

Abstract

fetched live from OpenAlex

IEEE 802.11 access point (AP) power saving is an important feature for solar/battery powered ESS mesh networks. In this paper we propose a media access control (MAC) protocol for power-aware multihop infrastructure, based on extensions to IEEE 802.11(e). A power saving mesh AP includes a network allocation map (NAM) in its beacon broadcasts which specifies its temporal operation, and thus coordinates traffic delivery and power saving at both end stations and at the AP. A simple algorithm is proposed for dynamically updating channel activities so that best-effort traffic load changes can be quickly accommodated. Simulation and analytic results are presented for the proposed system which show that the proposed protocol and algorithm can achieve good AP power consumption without any significant end station performance degradation

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 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: Empirical
Teacher disagreement score0.196
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.229
Teacher spread0.217 · 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.

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

Citations23
Published2005
Admission routes1
Has abstractyes

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