ICN Based Vehicle-to-Cloud Delivery for Multimedia Streaming in Urban Vehicular Networks

被引：1

作者：

Wei Quan ^{[1
]}

Fei Song ^{[1
]}

Chengxiao Yu ^{[1
]}

Mingchuan Zhang ^{[1
,2
]}

机构：

[1] National Engineering Laboratory for Next Generation Internet Technologies,School of Electronic and Information Engineering,Beijing Jiaotong University

[2] College of Information Engineering,Henan University of Science and Technology

来源：

中国通信 | 2016年 / 13卷 / 09期

基金：

中国国家自然科学基金; 中央高校基本科研业务费专项资金资助; 中国博士后科学基金;

关键词：

information centric networking; vehicle-to-cloud; multimedia streaming; VANET;

D O I：

暂无

中图分类号：

U495 [电子计算机在公路运输和公路工程中的应用]; U463.6 [电气设备及附件]; TN929.5 [移动通信];

学科分类号：

080204 ; 080402 ; 080904 ; 0810 ; 081001 ; 082304 ; 0838 ;

摘要：

Mobile multimedia streaming is an open topic in vehicular environment.Due to the high intermittent links,it has become a critical challenge to deliver high quality video streaming in vehicular networks.In this paper,we reform the Information Centric Networking(ICN) concept for multimedia delivery in urban vehicular networks.By leveraging the ICN perspective,we highlight that vehicular peers can obtain multimedia chunks via the vehicle-to-cloud(V2C) approach to improve the delivery quality.Based on this,we propose a lightweight multipath selection strategy to guide the network system to adaptively adjust the forwarding means.Extensive simulations show that the proposed solution can optimize the utilization of network paths,lighten network loads as well as avoid wasting resources.

引用

页码：103 / 112

页数：10

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