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Record W2107855621 · doi:10.1109/dnsr.2004.1344748

Provision of QoS in wireless networks

2004· article· en· W2107855621 on OpenAlexaff
Jasjote Grewal, John DeDourek

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsComputer networkComputer scienceRoamingQuality of serviceWireless networkWi-Fi arrayWireless WANMobile QoSBluetoothWireless Application ProtocolHeterogeneous networkWirelessTelecommunicationsService (business)Service provider

Abstract

fetched live from OpenAlex

With the advent of different types of wireless technologies a 'vertical multi-tier' architecture is envisioned to provide the wireless user with seamless 'roaming' across different types of networks. Wireless devices will be used not only for transferring data but also for voice and multimedia applications for which QoS (quality of service) support is essential. Different wireless technologies, like Bluetooth, IEEE 802.11 standards and 1x cellular standards, can be integrated at the network layer with the help of the IETF Mobile IP standard. Although there are existing QoS mechanisms, like DiffServ and IntServ, they are not directly applicable to wireless networks. Because of the inherent issues with TCP in wireless environments, it is proposed that RTP (real time protocol) over UDP (user datagram protocol) be used for designing the QoS framework for wireless computing. Open source applications that use RTP over UDP are being used for measuring the network characteristics for multimedia flows. The paper describes the approach being taken in order to provide a QoS solution for wireless networks.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score0.186

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 head0.197
Teacher spread0.193 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2004
Admission routes1
Has abstractyes

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