Table of Contents Author Guidelines Submit a Manuscript
Mobile Information Systems
Volume 2016, Article ID 5352165, 12 pages
http://dx.doi.org/10.1155/2016/5352165
Research Article

A Novel Contribution-Aware Neighbor-Assist Video Delivery Solution over Mobile Content-Centric Networks

1Information Engineering College, Capital Normal University, Beijing 100048, China
2Central Plains Economic Zone Wisdom Tourism Cooperative Innovation Center, Luoyang Normal University, Luoyang, Henan 471934, China
3Academy of Information Technology, Luoyang Normal University, Luoyang, Henan 471934, China
4State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100086, China

Received 13 September 2016; Accepted 10 November 2016

Academic Editor: George Ghinea

Copyright © 2016 Lujie Zhong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In this paper, we propose a novel contribution-aware neighbor-assist video delivery solution over mobile content-centric network (CNVD). CNVD allows the nodes to build and maintain neighbor relationship with other nodes to share cached video resources and achieve unicast-based video lookup. CNVD constructs an estimation model of contribution of neighbor nodes by investigation of lookup delay, number of cached videos, lookup success rate, and geographical distance. CNVD designs the estimation methods of interest level and lookup capacity of nodes for video content, which enables the nodes to decide whether to build neighbor relationship with other nodes. A maintenance method of neighbor relationship between nodes is proposed, which enables the nodes to update valid time of neighbor relationship in terms of contribution of neighbor nodes and decide whether to remove neighbor relationship in terms of the current valid time of neighbor relationship. Further, CNVD designs a contribution-based video lookup algorithm, which reduces lookup delay and improves lookup success rate. Extensive tests show how CNVD achieves much better performance results in comparison with other state-of-the-art solutions.