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Record W1974698572 · doi:10.1109/glocom.2012.6504007

Enabling relay-aided IP communications in 802.11p/WAVE Networks

2012· article· en· W1974698572 on OpenAlexaff
Sandra Céspedes, Xuemin Shen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMobile Ad Hoc Networks
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceComputer networkIEEE 802.11pSoftware deploymentRelayTelecommunicationsWirelessVehicular ad hoc networkWireless ad hoc network

Abstract

fetched live from OpenAlex

Vehicular communications networks and the 802.11p/WAVE technology have become a fundamental platform for providing real-time access to safety and entertainment information in vehicular scenarios. In particular, IP-based infotainment applications are key to leverage the deployment costs of the 802.11p/WAVE network. However, the operation of IP in the standard 802.11p/WAVE and its throughput performance are still unclear, as the standard recommendations for the operation of IPv6 over WAVE are rather minimal. Consequently, this paper focuses on the provision of infrastructure-based IP communications in 802.11p/WAVE networks, and proposes the Vehicular IP in WAVE (VIP-WAVE) framework, which defines a new per-user assignment and mobility management of IPv6 addresses supported by Proxy Mobile IPv6 over WAVE, and exploits relay-aided communications to improve the network performance along roads with different levels of infrastructure presence. Extensive simulations are carried out to demonstrate the effectiveness of the proposed framework to enhance the performance of IP applications in the vehicular network.

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)0.001
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.939
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0020.001
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 head0.049
GPT teacher head0.276
Teacher spread0.228 · 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
GenreMethods

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

Citations2
Published2012
Admission routes1
Has abstractyes

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