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Record W2074578978 · doi:10.1109/mcit.2010.5444868

Performance improvement of ad hoc networks using directional antennas and power control

2010· article· en· W2074578978 on OpenAlexaff
Qilei Bian, Wessam Ajib

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMobile Ad Hoc Networks
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsWireless ad hoc networkDirectional antennaComputer sciencePower controlComputer networkNetwork packetMobile ad hoc networkTransmission (telecommunications)Ad hoc wireless distribution serviceVehicular ad hoc networkPower (physics)WirelessOptimized Link State Routing ProtocolTelecommunicationsAntenna (radio)

Abstract

fetched live from OpenAlex

To improve the system performances of wireless ad hoc networks, researchers have proposed many approaches including the use of directional antennas and power control mechanisms. However, most of these works consider only directional transmission, while directional antennas could be used for both transmitting and receiving. Moreover, there is a lack of work that evaluates the impact of power control in heterogeneous ad hoc networks where directional antennas are partially deployed. In this paper, we propose a power controlled directional MAC protocol which enables both directional transmission and reception of all control and data packets. We evaluate our protocol in heterogeneous ad hoc scenario and show how much performance enhancement can be achieved as a result of using both directional antennas and power 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.006
GPT teacher head0.209
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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
Published2010
Admission routes1
Has abstractyes

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