In this dissertation, we developed a method that uses the redundant information implicitly
generated inside a random network coding network to apply error correction to the transmitted
message. The obtained results show that the developed implicit error correcting method can
reduce the effect of errors in a random network coding network without the addition of
redundant information at the source node. This method presents numerous advantages
compared to the documented concatenated error correction methods.
We found that various error correction schemes can be implemented without adding
redundancy at the source nodes. The decoding ability of this method is dependent on the
network characteristics. We found that large networks with a high level of interconnectivity
yield more redundant information allowing more advanced error correction schemes to be
implemented.
Network coding networks are prone to error propagation. We present the results of the
effect of link error probability on our scheme and show that our scheme outperforms
concatenated error correction schemes for low link error probability. / Thesis (M.Ing. (Computer Engineering))--North-West University, Potchefstroom Campus, 2010.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nwu/oai:dspace.nwu.ac.za:10394/3991 |
| Date | January 2009 |
| Creators | Von Solms, Suné |
| Publisher | North-West University |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.002 seconds