Cooperative Content Precaching Scheme Based on the Mobility Information of Vehicles in Intermittently Connected Vehicular Networks

Intermittently connected vehicular networks (ICVNs) consist of vehicles moving on roads and stationary roadside units (RSUs) deployed along roads. In ICVNs, the long distances between RSUs large volume content lead to download delays high traffic overhead backhaul links. Fortunately, improved storage size enhanced mobility prediction afford opportunities ameliorate these problems by proactively caching (i.e., precaching) content. However, existing precaching schemes exploits individually for precaching, even though cooperative them can reduce link traffic. Thus, this paper proposes a scheme that ability both enhance performance downloads in ICVNs. Based trajectory velocity information vehicles, we first select optimal relaying vehicle next cache requested provide it requester optimally. Next, calculate amount each downloading using mathematical model dwell time an RSU contact vehicles. To compensate error determining time, our adds guardband considering expected reduced delay. Finally, evaluate proposed various simulation environments prove achievement efficient comparing with schemes.