MDTC Video Transmission using Channel Aware Multipath Routing in Wireless Mesh Networks

Abstract

In a mesh network, there are many paths available between two nodes depending on their location. To explore this property of path diversity, the information can be split into chunks and sent over different paths. An image or video when packetized and sent, there are chances that few packets may be corrupted in transmission. Spatial Correlation property of images and videos can be used to split an image or video frame into different descriptions so that spatial neighbors fall into different descriptions which can be sent independent of each other thus preserving the details better. Also, by inserting a recovery stage in between, we can overcome the existing errors to some extent with the help of their spatial/transformed neighbors. Hence, to achieve error resilience in wireless mesh networks by the virtue of path diversity and spatial correlation, Multiple Description Transform Coding (MDTC) was formulated for images and extended to videos. Multiple paths are selected based on channel state (packet error information). Intermediate recovery is added to increase the robustness of MDTC. The proposed scheme improves the PSNR of the received video and reduces end to end transmission delay in a wireless mesh network.