Resource-Distortion Modeling for Video Streaming Over Mesh Networks With Priority-Based Packet Scheduling
Video streaming over mesh networks operates under stringent network resource constraints, with a large number of video sessions competing for limited network resources. In this paper, the authors aim to establish so-called resource distortion models to characterize the inherent relationship between the allocated network resources to each video session and its end-to-end video distortion or presentation quality at the receiver end. They observed that priority-based packet scheduling has significant impact on such resource distortion relationship. Using ANN-based learning methods, they develop an end-to-end Packet Delay Bound Violation (PDBV) probability model for video streaming over multi-hop networks with priority-based packet scheduling.