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Record W2140510741 · doi:10.1109/ccece.2006.277808

Handoff Protocol for Heterogeneous All-IP-based Wireless Networks

2006· article· en· W2140510741 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 institutionsPolytechnique Montréal
Fundersnot available
KeywordsRoamingHandoverComputer networkComputer scienceMobility managementQuality of serviceMobile IPReservationWireless networkHeterogeneous networkProtocol (science)IPv6Next-generation networkWirelessTelecommunicationsThe Internet

Abstract

fetched live from OpenAlex

Next generation wireless networks (NGWN) or 4G are envisioned to be a combination of different architectures and wireless technologies. This brings several design and deployment challenges, such as mobility management, quality of service (QoS) provision and networks interworking. Mobile IPv6 (MIPv6) and its extensions, like HMIPv6 and FMIPv6, have been proposed for IP layer mobility management in NGWN. However, these protocols are hindered by several shortcomings; they fail to ensure seamless communications and support of real-time applications. This paper proposes a new and efficient mobility management protocol namely, handoff protocol for integrated networks (HPIN), based on score function, fast handover and anticipated resources reservation principles, to alleviate service disruption during users roaming by allowing selection of the best available network. The implementation of HPIN has been subject to extensive tests and results obtained show its benefit in terms of QoS than traditional and existing handoff protocols

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: Methods · Consensus signal: none
Teacher disagreement score0.727
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 head0.013
GPT teacher head0.247
Teacher spread0.234 · 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