Crowdsourcing-Based Content-Centric Network: A Social Perspective

Kun Wang, Liqiu Gu, Song Guo, Hongbin Chen, Victor C.M. Leung, Yanfei Sun

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)

Abstract

Driven by the rapidly growing demand for multimedia service, CCN is conceived as an important component for the next-generation network to facilitate information distribution and meet individual needs. This article investigates how to integrate the crowdsourcing technique and the CCN into a coherent whole, for the purpose of significantly improving the performance of CCN. Specifically, we first propose a CCCN that mainly contains two parts, i.e., mobile participants and a server cloud. Second, we design a complementary social-enhanced communication strategy that exploits the social characteristics for this framework, in order to develop a systematic understanding of the interplay between social characteristics and crowdsourcing. Extensive simulations have been conducted, and the results demonstrate that our social strategy can achieve significant performance improvement. Finally, we discuss open issues about security and management that may arise in the future CCCN framework.

Original languageEnglish
Article number8053475
Pages (from-to)28-34
Number of pages7
JournalIEEE Network
Volume31
Issue number5
DOIs
Publication statusPublished - 1 Jan 2017

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

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