A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks

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dc.citation.issue19
dc.citation.volume20
dc.contributor.authorAslam S
dc.contributor.authorAlam F
dc.contributor.authorHasan S
dc.contributor.authorRashid M
dc.date.available2020-10
dc.date.available2020-09-23
dc.date.issued2020-09-25
dc.description.abstractNext generation cellular systems need efficient content-distribution schemes. Content-sharing via Device-to-Device (D2D) clustered networks has emerged as a popular approach for alleviating the burden on the cellular network. In this article, we utilize Content-Centric Networking and Network Virtualization to propose a distributed architecture, that supports efficient content delivery. We propose to use clustering at the user level for content-distribution. A weighted multifactor clustering algorithm is proposed for grouping the D2D User Equipment (DUEs) sharing a common interest. The proposed algorithm is evaluated in terms of energy efficiency, area spectral efficiency, and throughput. The effect of the number of clusters on these performance parameters is also discussed. The proposed algorithm has been further modified to allow for a tradeoff between fairness and other performance parameters. A comprehensive simulation study demonstrates that the proposed clustering algorithm is more flexible and outperforms several classical and state-of-the-art algorithms.
dc.description.publication-statusPublished
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000586753200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifierARTN 5509
dc.identifier.citationSENSORS, 2020, 20 (19)
dc.identifier.doi10.3390/s20195509
dc.identifier.eissn1424-8220
dc.identifier.elements-id434921
dc.identifier.harvestedMassey_Dark
dc.publisherMDPI (Basel, Switzerland)
dc.relation.isPartOfSENSORS
dc.rightsThe Author(s) CC BY 4.0
dc.subjectD2D communication
dc.subjectdistributed architectures
dc.subject5G
dc.subjectcontent-sharing
dc.subjectclustering algorithm
dc.subjectcontent-centric networking
dc.subjectnetwork virtualization
dc.subject.anzsrc0301 Analytical Chemistry
dc.subject.anzsrc0805 Distributed Computing
dc.subject.anzsrc0906 Electrical and Electronic Engineering
dc.subject.anzsrc0502 Environmental Science and Management
dc.subject.anzsrc0602 Ecology
dc.titleA Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Food and Advanced Technology
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