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 …

Wireless communication links suffer from outage events caused by fading and interference.
To facilitate a tractable analysis of network communication throughput and latency, we …

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 sparse (BATS) codes are a promising technique for reliable data transmission in
multihop wireless networks. A BATS code consists of an outer code and an inner code, the …

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 solution to network transmission in multi-
hop packet networks with packet loss. BNC encodes the source data into batches of packets …

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 …

Internet of Things (IoT) connects billions of everyday objects to the Internet. The mobility of
devices can be facilitated by means of employing multiple wireless links. However, packet …