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A Loss Differentiation Method Based on Heterogeneous Ensemble Learning Model for Low Earth Orbit Sat...

A Loss Differentiation Method Based on Heterogeneous Ensemble Learning Model for Low Earth Orbit Sat...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_296bd84973324a95bbf5cfd534dcc7bb

A Loss Differentiation Method Based on Heterogeneous Ensemble Learning Model for Low Earth Orbit Satellite Networks

About this item

Full title

A Loss Differentiation Method Based on Heterogeneous Ensemble Learning Model for Low Earth Orbit Satellite Networks

Publisher

Switzerland: MDPI AG

Journal title

Entropy (Basel, Switzerland), 2023-12, Vol.25 (12), p.1642

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

In light of the high bit error rate in satellite network links, the traditional transmission control protocol (TCP) fails to distinguish between congestion and wireless losses, and existing loss differentiation methods lack heterogeneous ensemble learning models, especially feature selection for loss differentiation, individual classifier selection...

Alternative Titles

Full title

A Loss Differentiation Method Based on Heterogeneous Ensemble Learning Model for Low Earth Orbit Satellite Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_296bd84973324a95bbf5cfd534dcc7bb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_296bd84973324a95bbf5cfd534dcc7bb

Other Identifiers

ISSN

1099-4300

E-ISSN

1099-4300

DOI

10.3390/e25121642

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