Fulcrum Random Linear Network Coding (RLNC) combines outer coding in a large Galois
Field, eg,, with inner coding in to flexibly trade off the strong protection (low probability of …

Network coding technology has opened new avenues for enhancing networking
applications. Peer-to-peer (P2P) content distribution stands as a particularly promising …

Sparse Random Linear Network Coding (RLNC) reduces the computational complexity of
the RLNC decoding through a low density of the non-zero coding coefficients, which can be …

Fulcrum coding combines a high-field outer Random Linear Network Coding (RLNC) that
generates outer coding expansion packets with a small-field inner RLNC that combines the …

Random linear network coding (RLNC) is attractive for data transfer as well as data storage
and retrieval in complex and unreliable settings. The existing systematic RLNC approach …

Reliable and effective forward error correction is challenging, especially in a heterogeneous
transmission environment, due to the differences in computation capabilities of end devices …

Random Linear Network Coding (RLNC) provides a theoretically efficient method for coding.
The drawbacks associated with it are the complexity of the decoding and the overhead …

One of the by-products of Sparse Network Coding (SNC) is the ability to perform partial
decoding, ie, decoding some original packets prior to collecting all needed coded packets to …

Random linear network coding (RLNC) can enhance the reliability of multimedia
transmissions over lossy communication channels. However, RLNC has been designed for …

Although Network Coding (NC) has been proven to increase throughput and reliability in
communication networks, its adoption is typically hindered by the additional complexity it …