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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
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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 |
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| 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 & Mathematics |
| Publisher: | Wiley |
| Date Deposited: | 07 Feb 2020 11:17 |
| Last Modified: | 04 Sep 2021 07:56 |
| DOI or ID number: | 10.1002/ett.3866 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/12217 |
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