Random linear network coding is widely proposed as the solution for practical network coding
applications due to the robustness to random packet loss, packet delays as well as network topology
and capacity changes. In order to implement random linear network coding in practical scenarios
where the encoding and decoding methods perform efficiently, the computational complex coding
algorithms associated with random linear network coding must be overcome.
This research contributes to the field of practical random linear network coding by presenting
new, low complexity coding algorithms with low decoding delay. In this thesis we contribute to this
research field by building on the current solutions available in the literature through the utilisation
of familiar coding schemes combined with methods from other research areas, as well as developing
innovative coding methods.
We show that by transmitting source symbols in predetermined and constrained patterns from
the source node, the causality of the random linear network coding network can be used to create
structure at the receiver nodes. This structure enables us to introduce an innovative decoding
scheme of low decoding delay. This decoding method also proves to be resilient to the effects of
packet loss on the structure of the received packets. This decoding method shows a low decoding
delay and resilience to packet erasures, that makes it an attractive option for use in multimedia
multicasting.
We show that fountain codes can be implemented in RLNC networks without changing the
complete coding structure of RLNC networks. By implementing an adapted encoding algorithm at
strategic intermediate nodes in the network, the receiver nodes can obtain encoded packets that
approximate the degree distribution of encoded packets required for successful belief propagation
decoding.
Previous work done showed that the redundant packets generated by RLNC networks can be
used for error detection at the receiver nodes. This error detection method can be implemented
without implementing an outer code; thus, it does not require any additional network resources. We
analyse this method and show that this method is only effective for single error detection, not
correction.
In this thesis the current body of knowledge and technology in practical random linear network
coding is extended through the contribution of effective decoding techniques in practical network
coding networks. We present both analytical and simulation results to show that the developed
techniques can render low complexity coding algorithms with low decoding delay in RLNC networks. / Thesis (PhD (Computer Engineering))--North-West University, Potchefstroom Campus, 2013
| Identifer | oai:union.ndltd.org:NWUBOLOKA1/oai:dspace.nwu.ac.za:10394/9544 |
| Date | January 2013 |
| Creators | Von Solms, Suné |
| Publisher | North-West University |
| Source Sets | North-West University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.0019 seconds