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Record W2101542835 · doi:10.1109/vetecs.2009.5073877

The Design and Implementation of a Gateway for IP Multimedia Subsystem/Wireless Sensor Networks Interworking

2009· article· en· W2101542835 on OpenAlexaff
May El Barachi, Arif Kadiwal, Roch Glitho, Ferhat Khendek, Rachida Dssouli

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEnergy Efficient Wireless Sensor Networks
Canadian institutionsEricsson (Canada)Concordia University
Fundersnot available
KeywordsComputer scienceIP Multimedia SubsystemDefault gatewayComputer networkGateway (web page)ProvisioningWireless sensor networkArchitectureWirelessMultimediaQuality of serviceWorld Wide WebTelecommunications

Abstract

fetched live from OpenAlex

The IP Multimedia Subsystem (IMS) is becoming the de-facto standard for IP-based multimedia services, while Wireless Sensor Networks (WSNs) are gaining a lot of popularity due to their ability of capturing a rich set of contextual information and their high application potential. Making the rich set of contextual information, captured by WSNs, available to the IMS can greatly enhance its service provisioning capabilities and open the door to a wide range of novel multimedia services. We have previously proposed a solution for WSNs/IMS integration. One of the key components of this solution is a WSN/IMS gateway acting as intermediary between the two networks. This paper focuses on the design and implementation of this gateway. The gateway architecture proposed encompasses the information management and support functions needed to enable IMS interaction with different types of WSNs. A prototype of this architecture is built and tested using Ericsson's IMS simulated environment. Furthermore, two applications (a pervasive game and a personalized call control application) are used to demonstrate the system operation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score0.464

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 head0.015
GPT teacher head0.264
Teacher spread0.249 · 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
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
Published2009
Admission routes1
Has abstractyes

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