A novel weighted clustering algorithm supported by a distributed architecture for D2D enabled content-centric networks

Title
A novel weighted clustering algorithm supported by a distributed architecture for D2D enabled content-centric networks
Publication Date
2020-09-25
Author(s)
Aslam, Saad
Alam, Fakhrul
Hasan, Syed Faraz
( author )
OrcID: https://orcid.org/0009-0006-5345-2790
Email: shasan3@une.edu.au
UNE Id une-id:shasan3
Rashid, Mohammad
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
MDPI AG
Place of publication
Switzerland
DOI
10.3390/s20195509
UNE publication id
une:1959.11/62870
Abstract

Next 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.

Link
Citation
Sensors, 20(19), p. 1-25
ISSN
1424-8220
1424-8239
Start page
1
End page
25
Rights
Attribution 4.0 International

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