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 …

Establishing reliable and efficient multicast services in heterogeneous networks under an
erasure channel is one of the current priorities in coding theory, particularly in Network …

The demand for wideband communication in the coastal area (ie,≤ 100 km from the
coastline) has been rapidly increasing in recent years. Compared to the terrestrial scenario …

Relay transmissions play an important role in many types of communication systems. In this
paper, we consider packet-level coded transmissions over lossy relay links with the finite …

Optimal random network coding is reduced complexity in computation of coding coefficients,
computation of encoded packets and coefficients are such that minimal transmission …

A complete generation of packets coded with Random Linear Network Coding (RLNC) can
be quickly decoded on a multicore system by scheduling the involved matrix block …

In an Internet of Things (IoT), the number of interconnected devices is huge and has been
increasing drastically. Their generated data requires powerful aggregated computing …

Abstract (EN) Today's communication network is changing rapidly and radically. Demand for
low latency, high reliability and low energy consumption increases as well the variety of …

A LoRa wireless communication architecture is proposed for censusing and data processing
in Smart Cities, taking advantage of RLNC coding properties over packet segments to …