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Record W2119187963 · doi:10.1109/ccnc.2007.83

A Dynamic Hierarchical Mobility Management Protocol for Next Generation Wireless Metropolitan Area Networks

2007· article· en· W2119187963 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 institutionsUniversity of OttawaQueen's University
Fundersnot available
KeywordsComputer networkRoamingComputer scienceMobility managementWireless mesh networkWireless broadbandWireless networkBackhaul (telecommunications)Shared meshScalabilityOrder One Network ProtocolDistributed computingWirelessBase stationTelecommunications

Abstract

fetched live from OpenAlex

Wi-Fi mesh networks and WiMAX are two new emerging wireless access technologies for the delivery of broadband services to mobile users in the metropolitan area. To take advantage of the strengths of these two, we propose a novel architecture for next generation wireless metropolitan area networks. In this architecture, no wired backhaul connections for Wi-Fi mesh portals are needed, which considerably reduces the deployment cost and at the same time improves the system scalability. Due to the unique feature of wireless mesh networks which is a part of the architecture, previously proposed mobility management protocol can not work properly in this network environment. We propose a hierarchical mobility management scheme for mobile stations to maintain network connectivity while roaming within the Wi-Fi mesh networks. In this scheme, the dynamic forwarding chain is used to reduce the signalling traffic involved in the mobility management including registration and handoff procedures. The results of the performance evaluation justified the benefits of our proposed mechanism.

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)0.001
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: none
Teacher disagreement score0.832
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 communication0.0000.000
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 head0.027
GPT teacher head0.286
Teacher spread0.258 · 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