Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

A community‐based social P2P network for sharing human life digital memories

Ur Rahman, H, Merabti, M, Llewellyn-Jones, D, Sudirman, S and Ghani, A (2020) A community‐based social P2P network for sharing human life digital memories. Transactions on Emerging Telecommunications Technologies. ISSN 2161-3915

[img] Text
ETT-19-0235.R2_Proof_hi.pdf - Accepted Version
Restricted to Repository staff only until 29 January 2021.

Download (2MB)

Abstract

Social peer‐to‐peer (P2P) networks are usually designed by reflecting a user's interest/behavior for structuring the underlying network. Human interest is affected by various factors such as age, locality, and so on which changes after some time. The behavior when reflected in a network, results in peers moving within the network in order to connect the peer with peers of the same behavior/interest. Especially in community‐based schemes when a peer leaves a community the data that a peer was sharing will not be accessible in the same community anymore. It has an effect on the performance of the network due to the inaccessibility of data and the unavailability of connections, which affect network robustness. We address this issue by considering entities in data in the form of digital memories of a user and structuring network according to entity‐based communities. The simulation results for the proposed entity‐based community are demonstrated, which shows the effect on network performance during varying network size and traffic.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Ur Rahman, H, Merabti, M, Llewellyn‐Jones, D, Sudirman, S, Ghani, A. A community‐based social P2P network for sharing human life digital memories. Trans Emerging Tel Tech. 2020;e3866., which has been published in final form at http://dx.doi.org/10.1002/ett.3866. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions
Uncontrolled Keywords: 0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Computer Science
Publisher: Wiley
Date Deposited: 07 Feb 2020 11:17
Last Modified: 07 Feb 2020 11:17
DOI or Identification number: 10.1002/ett.3866
URI: http://researchonline.ljmu.ac.uk/id/eprint/12217

Actions (login required)

View Item View Item