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Efficient Matching-Based Parallel Task Offloading in IoT Networks

Efficient Matching-Based Parallel Task Offloading in IoT Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3f95724b5dde4783a091b886ee988c79

Efficient Matching-Based Parallel Task Offloading in IoT Networks

About this item

Full title

Efficient Matching-Based Parallel Task Offloading in IoT Networks

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6906

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Fog computing is one of the major components of future 6G networks. It can provide fast computing of different application-related tasks and improve system reliability due to better decision-making. Parallel offloading, in which a task is split into several sub-tasks and transmitted to different fog nodes for parallel computation, is a promising co...

Alternative Titles

Full title

Efficient Matching-Based Parallel Task Offloading in IoT Networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3f95724b5dde4783a091b886ee988c79

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3f95724b5dde4783a091b886ee988c79

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22186906

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