Computer Science – Information Theory
Scientific paper
2011-08-11
Computer Science
Information Theory
Scientific paper
We consider network coding for networks experiencing worst-case bit-flip errors, and argue that this is a reasonable model for highly dynamic wireless network transmissions. We demonstrate that in this setup prior network error-correcting schemes can be arbitrarily far from achieving the optimal network throughput. We propose a new metric for errors under this model. Using this metric, we prove a new Hamming-type upper bound on the network capacity. We also show a commensurate lower bound based on GV-type codes that can be used for error-correction. The codes used to attain the lower bound are non-coherent (do not require prior knowledge of network topology). The end-to-end nature of our design enables our codes to be overlaid on classical distributed random linear network codes. Further, we free internal nodes from having to implement potentially computationally intensive link-by-link error-correction.
Jaggi Sidharth
Li Shuo-Yen Robert
Wang Qiwen
No associations
LandOfFree
Binary Error Correcting Network Codes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Binary Error Correcting Network Codes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Binary Error Correcting Network Codes will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-276082