Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75919
Title: Crowdsourcing-based content-centric network : a social perspective
Authors: Wang, K 
Gu, LQ
Guo, S 
Chen, HB
Leung, VCM
Sun, YF
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE network, 2017, v. 31, no. 5, p. 28-34 How to cite?
Journal: IEEE network 
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.
URI: http://hdl.handle.net/10397/75919
ISSN: 0890-8044
EISSN: 1558-156X
DOI: 10.1109/MNET.2017.1600191
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