Title :
Cloud-MERVS: An IoT Cloud-Based Error Recovery Video Streaming Scheme
Author :
Hengheng Xie;Azzedine Boukerche
Author_Institution :
PARADISE Res. Lab., Univ. of Ottawa, Ottawa, ON, Canada
Abstract :
Internet of Thing (IoT) cloud system is a field attracting a great deal of recent attention. Vehicular networks is a key area in IoT, as they can offer novel experiences in infotainment, as well as driving assistance such as like real-time traffic forecasting, advertisements and on board entertainment. Most of these applications rely on high quality video sharing, which is still an open research topic in Vehicular networks. We proposed a Cloud-MERVS technique for video streaming in Vehicular networks, which integrates IoT cloud system techniques and the Multi-channel Error Recovery Video Streaming (MERVS), to provide a more satisfying driving and travel experience. There are two types of service providers in cloud computing: Control Service Providers (CSPs) and Video Service Providers (VSPs). CSPs are responsible for collecting advertisement messages from the VSPs. The VSPs are the real video and service providers. Some VSPs are connected to a selected CSP to form a Group Service Provider (GSP), which is organized in a hierarchical structure for to improve efficiency. The design is implemented in Network Simulator-2 (NS-2). In this paper, several verification simulations are conducted, and the simulation results are presented.
Keywords :
"Streaming media","Cloud computing","Vehicular ad hoc networks","Mobile communication","Uniform resource locators","Interference","Vehicles"
Conference_Titel :
Global Communications Conference (GLOBECOM), 2015 IEEE
DOI :
10.1109/GLOCOM.2015.7417351