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

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Published:04 January 2018Publication History

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.

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

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      cover image ACM Other conferences
      ICDCN '18: Proceedings of the 19th International Conference on Distributed Computing and Networking
      January 2018
      494 pages
      ISBN:9781450363723
      DOI:10.1145/3154273

      Copyright © 2018 ACM

      © 2018 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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      New York, NY, United States

      Publication History

      • Published: 4 January 2018

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