MétaCan
Menu
Back to cohort
Record W2184424864 · doi:10.1109/iemcon.2015.7344452

Energy-efficient MAC protocol for Wireless Body Area Networks

2015· article· en· W2184424864 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
TopicWireless Body Area Networks
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsComputer networkComputer scienceBody area networkInter-Access Point ProtocolProtocol (science)Multiple Access with Collision Avoidance for WirelessQuality of serviceNetwork allocation vectorIEEE 802.11sService setAccess controlWireless distribution systemReverse Address Resolution ProtocolMedia access controlWirelessWireless networkWireless sensor networkIEEE 802.11Wi-FiWi-Fi arrayInternet protocol suiteTelecommunicationsWireless mesh networkMedicineThe Internet

Abstract

fetched live from OpenAlex

The Medium Access Control (MAC) protocol for a Wireless Body Area Network (WBAN) should allow body sensors to get quick access to the channel and send data to the hub, especially in emergency situations while reducing power consumption. IEEE 802.15.6 Standard proposes a MAC protocol that could be applicable to all kinds of WBAN. The WBAN MAC protocol proposed in this paper is based on the existing MAC protocol described on IEEE 802.15.6 Standard, but taking into account characteristics for some WBAN where low emergency traffic and a very high normal traffic can be expected. The proposed protocol is energy-efficient and emergency-aware and it changes transmission schedules in order to provide quality of service for emergency traffic.

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 categoriesnone
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 score0.910
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 head0.025
GPT teacher head0.250
Teacher spread0.225 · 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

Quick stats

Citations11
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicWireless Body Area NetworksFrench-language works237,207