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Record W2512199282 · doi:10.1109/chase.2016.47

Reliable Transport Protocol Based on Loss-Recovery and Fairness for Wireless Body Area Networks

2016· article· en· W2512199282 on OpenAlexaff
Richard Jaramillo, Alejandro Quintero, Steven Chamberland

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsComputer networkComputer sciencePacket lossRetransmissionNetwork packetQuality of serviceReliability (semiconductor)

Abstract

fetched live from OpenAlex

The transport protocols for Wireless Body Area Networks (WBANs) must provide end-to-end reliability and Quality of Service (QoS) for the whole network. This task can be accomplished through the reduction of the PLR (Packet Loss Ratio) and the latency while keeping fairness and low energy consumption between the nodes. The IEEE 802.15.6 Standard supports QoS, but it does not suggest any transport protocol for WBANs. This paper proposes a transport protocol for WBANs based on an energy-efficient and emergency-aware MAC (Medium Access Control) protocol and the IEEE 802.15.6 Standard. This new transport protocol is a cross-layer design that uses loss-recovery and fairness to provide reliability to the network. The protocol detects out-of-sequence packets and requests retransmission of the lost packets. It outperforms the MAC protocol and the IEEE 802.15.6 Standard in the percentage of the packet loss with and without emergency traffic, while keeping a similar energy consumption.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score0.938

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 head0.008
GPT teacher head0.208
Teacher spread0.201 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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