A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks
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 Virtual...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/19/5509 |
| _version_ | 1797552584953692160 |
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| author | Saad Aslam Fakhrul Alam Syed Faraz Hasan Mohammad Rashid |
| author_facet | Saad Aslam Fakhrul Alam Syed Faraz Hasan Mohammad Rashid |
| author_sort | Saad Aslam |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T16:02:11Z |
| format | Article |
| id | doaj.art-dc95cca6191543a390654d83fd3e7ce5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:02:11Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-dc95cca6191543a390654d83fd3e7ce52023-11-20T15:10:49ZengMDPI AGSensors1424-82202020-09-012019550910.3390/s20195509A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric NetworksSaad Aslam0Fakhrul Alam1Syed Faraz Hasan2Mohammad Rashid3Department of Mechanical & Electrical Engineering, SF&AT, Massey University, Auckland 0632, New ZealandDepartment of Mechanical & Electrical Engineering, SF&AT, Massey University, Auckland 0632, New ZealandDepartment of Mechanical & Electrical Engineering, SF&AT, Massey University, Auckland 0632, New ZealandDepartment of Mechanical & Electrical Engineering, SF&AT, Massey University, Auckland 0632, New ZealandNext 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.https://www.mdpi.com/1424-8220/20/19/5509D2D communicationdistributed architectures5Gcontent-sharingclustering algorithmcontent-centric networking |
| spellingShingle | Saad Aslam Fakhrul Alam Syed Faraz Hasan Mohammad Rashid A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks Sensors D2D communication distributed architectures 5G content-sharing clustering algorithm content-centric networking |
| title | A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks |
| title_full | A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks |
| title_fullStr | A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks |
| title_full_unstemmed | A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks |
| title_short | A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks |
| title_sort | novel weighted clustering algorithm supported by a distributed architecture for d2d enabled content centric networks |
| topic | D2D communication distributed architectures 5G content-sharing clustering algorithm content-centric networking |
| url | https://www.mdpi.com/1424-8220/20/19/5509 |
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