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Record W2072434618 · doi:10.1109/wocn.2009.5010507

Handoff in IEEE 802.11p-based vehicular networks

2009· article· en· W2072434618 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHandoverComputer scienceIEEE 802.11pWirelessComputer networkWireless networkInter-Access Point ProtocolAccess technologyVehicular ad hoc networkProcess (computing)IEEE 802.11sTelecommunicationsWireless ad hoc networkWi-Fi

Abstract

fetched live from OpenAlex

In an effort to develop a simulation framework for evaluating the performance of wireless access technologies for vehicular networks, the authors have developed a simulation framework for the draft wireless technology IEEE 802.11p within the simulator NS-2[1]. Furthermore, handoff mechanisms for the draft technology have also been added to the framework. The latter aims at replicating, as far as possible, the access technology characteristics in the simulator and with the help of scenarios intends to give an objective view of the performance of applications destined for Intelligent Transport Systems. The framework is, in our knowledge, the first framework open to the research community designed to meet the requirements set for vehicle to infrastructure communications, with special attention being paid to the handover process in the infrastructure mode of operation of IEEE 802.11p.

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: Empirical
Teacher disagreement score0.186
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 head0.005
GPT teacher head0.194
Teacher spread0.188 · 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