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Record W2093476505 · doi:10.4018/ijwnbt.2012070103

Mobility Support for IPv6-based Next Generation Wireless Networks

2012· article· en· W2093476505 on OpenAlexaff
Li Jun Zhang, Samuel Pierre

Bibliographic record

VenueInternational Journal of Wireless Networks and Broadband Technologies · 2012
Typearticle
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsPolytechnique MontréalGrace (Canada)
Fundersnot available
KeywordsMobile IPComputer networkComputer scienceMobility managementSubnetMobility modelHandoverWireless networkIPv6Mobile computingWirelessTelecommunicationsThe InternetOperating system

Abstract

fetched live from OpenAlex

This paper presents an overview of IPv6-based mobility management protocols: mobile IPv6 (MIPv6), fast handovers for mobile IPv6 (FMIPv6), hierarchical mobile IPv6 (HMIPv6), and fast handover for hierarchical mobile IPv6 (F-HMIPv6). All these protocols play an important role in the next generation wireless networks, because in such networks, mobile users need to be freely change their access network or domain with on-going real-time multimedia services. The mobility management procedure for each protocol is described in details. Furthermore, handover performance is compared for host-based mobility protocols using analytical modeling. The effect of various wireless network parameters on the performance is studied carefully. Numerical analysis shows that handoff performance in wireless networks is largely dependent on various system parameters such as the user velocity, subnet radius, and session-to-mobility ratio, domain size and binding lifetime; there is a trade-off between performance metrics and such parameters.

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 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 score0.485
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.247
Teacher spread0.226 · 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.

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
Published2012
Admission routes1
Has abstractyes

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