Results 101 to 110 of about 463 (174)
On Intercept Probability Minimization under Sparse Random Linear Network Coding [PDF]
, 2019 This paper considers a network where a node wishes to transmit a source message to a legitimate receiver in the presence of an eavesdropper. The transmitter secures its transmissions employing a sparse implementation of random linear network coding (RLNC)
Piechocki, Robert J. +2 more
core +1 more source
Co-decode algorithm of network coding with hardware logic
Tongxin xuebao, 2012 Practical general coder and decoder of network coding(NC)with HDL(hardware description language)logic for wire-speed nodes was presented.The NC coders applied random linear network coding (RLNC) and the decoders recovered the original packets by Cramer’s
Hui LI +7 more
doaj +2 more sources
OPTIMUM-DERAM: Highly Consistent, Scalable, and Secure Multi-Object Memory using RLNC
CoRRThis paper introduces OPTIMUM-DERAM, a highly consistent, scalable, secure, and decentralized shared memory solution. Traditional distributed shared memory implementations offer multi-object support by multi-threading a single object memory instance over the same set of data hosts.
Nicolas Nicolaou +5 more
openaire +2 more sources
On the Partial Decoding Delay of Sparse Network Coding [PDF]
, 2018 Sparse network coding (SNC) is a promising technique for reducing the complexity of random linear network coding (RLNC), by selecting a sparse coefficient matrix to code the packets. However, the performance of SNC for the average decoding delay (ADD) of
Pahlevani, Peyman +6 more
core +1 more source
Design and Analysis of Systematic Batched Network Codes. [PDF]
Entropy (Basel), 2023 Mao L, Yang S, Huang X, Dong Y.
europepmc +1 more source
A Fault-Tolerant Transmission Scheme in SDN-Based Industrial IoT (IIoT) over Fiber-Wireless Networks. [PDF]
Entropy (Basel), 2022 Zhou Q, Zhao T, Chen X, Zhong Y, Luo H.
europepmc +1 more source
BAR: Blockwise Adaptive Recoding for Batched Network Coding. [PDF]
Entropy (Basel), 2023 Yin HHF +4 more
europepmc +1 more source
A Matroid Framework for Noncoherent Random Network Communications
, 2010 Models for noncoherent error control in random linear network coding (RLNC) and store and forward (SAF) have been recently proposed. In this paper, we model different types of random network communications as the transmission of flats of matroids.
Maximilien Gadouleau +3 more
core +1 more source
, 2022 Random Linear Network Coding (RLNC) is a transmission scheme that opts for linear combinations of the transmitted packets at a subset of the intermediate nodes.
Brahimi, Amine, Merazka, Fatiha
core
RLNC-aided cooperative compressed sensing for energy efficient vital signal telemonitoring
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Kartsakli, Elli +6 more
core