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Distributed probability density based multi-objective routing for Opp-IoT networks enabled by machin...

Distributed probability density based multi-objective routing for Opp-IoT networks enabled by machin...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2622629760

Distributed probability density based multi-objective routing for Opp-IoT networks enabled by machine learning

About this item

Full title

Distributed probability density based multi-objective routing for Opp-IoT networks enabled by machine learning

Publisher

London: Sage Publications Ltd

Journal title

Journal of intelligent & fuzzy systems, 2022-01, Vol.42 (2), p.1199-1211

Language

English

Formats

Publication information

Publisher

London: Sage Publications Ltd

More information

Scope and Contents

Contents

 Opportunistic IoT networks operate in an intermittent, mobile communication topology, employing peer-to-peer transmission hops on a store-carry-forward basis. Such a network suffers from intermittent connectivity, lack of end-to-end route definition, resource constraints and uncertainties arising from a dynamic topology, given the mobility of part...

Alternative Titles

Full title

Distributed probability density based multi-objective routing for Opp-IoT networks enabled by machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2622629760

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2622629760

Other Identifiers

ISSN

1064-1246

E-ISSN

1875-8967

DOI

10.3233/JIFS-189782

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