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Record W2131665531 · doi:10.1109/icc.2006.255003

CAPWAP Handover Protocol

2006· article· en· W2131665531 on OpenAlexaff
Behçet Sarikaya, Xiao Zheng

Bibliographic record

Venue2006 IEEE International Conference on Communications · 2006
Typearticle
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsHandoverComputer networkComputer scienceContext (archaeology)Wireless LAN controllerProtocol (science)Wireless Application ProtocolWirelessAuthentication (law)Wireless networkWi-Fi arrayComputer securityTelecommunicationsMedicine

Abstract

fetched live from OpenAlex

CAPWAPHP is a new handover and context transfer protocol for WLAN hosts managed by an access controller. The handover protocol is designed to ensure that the station has an association with a single wireless termination point and when the station does a handover to another wireless termination point, ensure that forwarding tables of the switches are updated. The context transfer protocol is designed as an original application of IETF's context transfer protocol using neighbor graphs. Station authentication context which is established at the association time gets transferred to neighboring wireless termination points and as a result, in subsequent reassociations the authentication time can be reduced. For Split MAC wireless termination points the context is stored at the access controller. Soft-state Markov chain analysis results indicate that context hit rates increase with average residence times under a wireless termination point and simulation results indicate that much shorter handover latencies result compared with full authentication without context transfer.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0150.008

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 head0.059
GPT teacher head0.326
Teacher spread0.267 · 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 designNot applicable
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

Citations8
Published2006
Admission routes1
Has abstractyes

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Same venue2006 IEEE International Conference on CommunicationsSame topicIPv6, Mobility, Handover, Networks, SecurityFrench-language works237,207