Scalable Video Streaming for Real-Time Multimedia Applications over DDS Middleware for Future Internet Architecture

The significant advancements achieved in wireless communications over the past few years has facilitated successful deployment of LTE-A, and heralded great efforts in 5G development. However, with the increase in the number and variety of connected devices, wireless video transmission in real-time is challenging for the aforementioned network paradigm. Many studies have shown that the centric focus of communications should be the content type, rather than the communication itself, which means real-time multimedia communications are considered crucial for future Internet architectures. This requires high capacity channels and techniques to mitigate inherent wireless channel errors. Thus, we propose an application-layer and middleware-based solutions that increase network reliability and flexibility and provide Quality of Service (QoS) control based on Scalable Video Coding (SVC). Due to the real-time and QoS support of the Data Distribution Service (DDS) middleware, it can be used to implement the three types of SVC scalability: Viz. Temporal, Spatial, Quality (SNR). The open source Scalable Video-streaming Evaluation Framework (SVEF) tool has been used to assess the video transmission performance with performance metrics, Viz. Peak Signal to Noise Ratio (PSNR), Mean Opinion Score (MOS), and frame delay. The results showed a graceful degradation of video quality when using the DDS-based SVC, particularly when the number of receivers is increased. The acquired results show excellent improvements which can be applied to different Future Internet architectures.