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DOI: 10.14569/IJACSA.2018.090314
PDF

Optimization based Approach for Content Distribution in Hybrid Mobile Social Networks

Author 1: Rizwan Akhtar
Author 2: Imran Memon
Author 3: Zuhaib Ashfaq Khan
Author 4: Changda Wang

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 3, 2018.

  • Abstract and Keywords
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Abstract: This paper presents the new strategy for smooth content distribution in the mobile social network. We proposed a new method, hybrid mobile social network architecture scheme considered as one node of a social community called social super node with higher capacity provides the services of content distribution. We proposed methods and techniques that are introduced to set the criteria to select a social super node (SSN). The simulation results are carried out to measure the correctness of the network performance of the proposed method. These results indicate that the accessing of those content of nearby social super node instead of the content provider is used to improve overall network performance in terms of content end-to-end delays, delivery ratio, throughput, and cost.

Keywords: Mobile social network; social super node; delays; network performance; end-to-end delays; content delivery

Rizwan Akhtar, Imran Memon, Zuhaib Ashfaq Khan and Changda Wang, “Optimization based Approach for Content Distribution in Hybrid Mobile Social Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 9(3), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090314

@article{Akhtar2018,
title = {Optimization based Approach for Content Distribution in Hybrid Mobile Social Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090314},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090314},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {3},
author = {Rizwan Akhtar and Imran Memon and Zuhaib Ashfaq Khan and Changda Wang}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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