MS-CCVN: Multi-Source Content Centric Vehicular Networking

Abstract

Content-Centric Networking (CCN) has become an emerging technology in vehicular environments and is called Content Centric Vehicular Networking (CCVN). In this kind of system, the network performance was improved by reducing redundant transmission if the cached contents are popular. However, the volume of the Content Store (CS) is constrained, and much smaller than the generated contents. Moreover, the current capacity vehicular backbone network and bandwidth of the Internet have faced great challenges to cope with constantly increasing vehicular applications. To solve these issues, we propose a novel scheme integrating CCN with Multi-source Mobile Streaming (MS 2) into VANETs model, dubbed MS-CCVN. In this scheme, the caching of each content is not limited to the single server anymore, instead, each content is fragmented and distributed to multiple servers over a large scale network. After experimenting with disjoint multi-paths, various content fragments are coupled at side clients. The results obtained by OPNET Modeler simulation show that the MS-CCVN scheme helps to improve energy efficiency, enhance effective caching, less bottleneck link, shorter round trip time, and offload server traffic in comparison with the original CCN scheme in vehicular environments. Index Terms-CCN, CCVN, MS 2 , VANETs, vehicle cloud computing I. INTRODUCTION Vehicular ad-hoc Networks (VANET) is one of the important components of intelligent transportation systems to improve the traffic conditions, road safety as well as commercial, entertainment services to drivers. In this network, each vehicle takes on the role of the sender, receiver, and wireless router to broadcast information in wide range communications. In VANET, two kinds of communication are Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) where road site units (RSUs) are deployed along the road and take a role as the access point. From the definition of VANET, a highlight challenge is obvious. Usually, Single-Source Single-Path Manuscript