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 …

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 …

In coding theory, codes are usually designed with a certain level of randomness to facilitate
analysis and accommodate different channel conditions. However, the resulting random …

Batched network coding is a variation of random linear network coding which has low
computational and storage costs. In order to adapt to random fluctuations in the number of …

Batched network coding is a low-complexity network coding solution to feedbackless multi-
hop wireless packet network transmission with packet loss. The data to be transmitted is …

Batched network coding (BNC) is a low-complexity variant of random linear network coding
(RLNC) that encodes the file to be sent into batches, each consisting of a few coded packets …

BATS (BATched Sparse) codes are a class of efficient random linear network coding
variation that has been studied for multihop wireless networks mostly in scenarios of a single …

Batched network coding is a practical realization of random linear network coding that
resolves the issue of high computational and storage costs at the intermediate nodes by …

Batched network coding is a solution to reliable communications in multi-hop networks with
packet loss. Adaptive recoding is a technique to enhance the throughput of batched network …

Network coding provides an efficient approach for multi-hop communication. The message
from the source node is encoded into batches of coded packets, and intermediate nodes …