A learning automata based edge resource allocation approach for IoT-enabled smart cities

Sahoo, S Sahoo, KS Sahoo, B Gandomi, AH

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Field	Value	Language
dc.contributor.author	Sahoo, S
dc.contributor.author	Sahoo, KS
dc.contributor.author	Sahoo, B
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2024-03-12T22:43:48Z
dc.date.available	2024-03-12T22:43:48Z
dc.date.issued	2023-12
dc.identifier.citation	Digital Communications and Networks, 2023
dc.identifier.issn	2468-5925
dc.identifier.uri	http://hdl.handle.net/10453/176599
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Digital Communications and Networks
dc.relation.isbasedon	10.1016/j.dcan.2023.11.009
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0805 Distributed Computing, 1005 Communications Technologies, 1203 Design Practice and Management
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4606 Distributed computing and systems software
dc.title	A learning automata based edge resource allocation approach for IoT-enabled smart cities
dc.type	Journal Article
utslib.for	0805 Distributed Computing
utslib.for	1005 Communications Technologies
utslib.for	1203 Design Practice and Management
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-12T22:43:47Z
pubs.publication-status	Published

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