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Big data in mobile social networks: A QoE-oriented framework

Research output: Contribution to journalArticlepeer-review

144 Scopus citations

Abstract

Due to the rapid development of mobile social networks, mobile big data play an important role in providing mobile social users with various mobile services. However, as mobile big data have inherent properties, current MSNs face a challenge to provide mobile social user with a satisfactory quality of experience. Therefore, in this article, we propose a novel framework to deliver mobile big data over content- centric mobile social networks. At first, the characteristics and challenges of mobile big data are studied. Then the content-centric network architecture to deliver mobile big data in MSNs is presented, where each datum consists of interest packets and data packets, respectively. Next, how to select the agent node to forward interest packets and the relay node to transmit data packets are given by defining priorities of interest packets and data packets. Finally, simulation results show the performance of our framework with varied parameters.

Original languageEnglish
Article number7389831
Pages (from-to)52-57
Number of pages6
JournalIEEE Network
Volume30
Issue number1
DOIs
StatePublished - 1 Jan 2016
Externally publishedYes

Keywords

  • Big data
  • Mobile communication
  • Mobile computing
  • Mobile handsets
  • Production
  • Relays
  • Social network services

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