Results 41 to 50 of about 320,035 (309)

SpaRec: Sparse Systematic RLNC Recoding in Multi-Hop Networks

open access: yesIEEE Access, 2021
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 achieved through sending uncoded (systematic) packets.
Elif Tasdemir   +6 more
doaj   +1 more source

ComboCoding: Combined intra-/inter-flow network coding for TCP over disruptive MANETs

open access: yesJournal of Advanced Research, 2011
TCP over wireless networks is challenging due to random losses and ACK interference. Although network coding schemes have been proposed to improve TCP robustness against extreme random losses, a critical problem still remains of DATA–ACK interference. To
Chien-Chia Chen   +5 more
doaj   +1 more source

MATIN: a random network coding based framework for high quality peer-to-peer live video streaming. [PDF]

open access: yesPLoS ONE, 2013
In recent years, Random Network Coding (RNC) has emerged as a promising solution for efficient Peer-to-Peer (P2P) video multicasting over the Internet. This probably refers to this fact that RNC noticeably increases the error resiliency and throughput of
Behrang Barekatain   +7 more
doaj   +1 more source

On conjugacy classes of subgroups of the general linear group and cyclic orbit codes [PDF]

open access: yes, 2011
Orbit codes are a family of codes employable for communications on a random linear network coding channel. The paper focuses on the classification of these codes.
Manganiello, Felice   +2 more
core   +1 more source

Practical Random Linear Network Coding on GPUs [PDF]

open access: yes, 2009
Recently, random linear network coding has been widely applied in peer-to-peer network applications. Instead of sharing the raw data with each other, peers in the network produce and send encoded data to each other. As a result, the communication protocols have been greatly simplified, and the applications experience higher end-to-end throughput and ...
Kaiyong Zhao, Mea Wang, Xiaowen Chu
openaire   +2 more sources

Distributed Intrusion Detection of Byzantine Attacks in Wireless Networks with Random Linear Network Coding

open access: yesInternational Journal of Distributed Sensor Networks, 2012
Network coding (NC) can be applied to achieve the maximal information flow in a network. In energy-constraint wireless networks such as wireless sensor networks, applying NC can further reduce the number of wireless transmissions and hence prolong the ...
Jen-Yeu Chen, Yi-Ying Tseng
doaj   +1 more source

Network Coding as Enabler for Achieving URLLC Under TCP and UDP Environments: A Survey

open access: yesIEEE Access, 2023
In an era of rapidly evolving technology, the pursuit of higher data rates, extremely low latency, and robust reliability is becoming increasingly crucial.
Patrick Enenche, Dong Ho Kim, Dongho You
doaj   +1 more source

Decoding Delay Performance of Random Linear Network Coding for Broadcast [PDF]

open access: yesIEEE Transactions on Vehicular Technology, 2017
Characterization of the delay profile of systems employing random linear network coding is important for the reliable provision of broadcast services. Previous studies focused on network coding over large finite fields or developed Markov chains to model the delay distribution but did not look at the effect of transmission deadlines on the delay.
Chatzigeorgiou, Ioannis, Tassi, Andrea
openaire   +6 more sources

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

Localized Dimension Growth in Random Network Coding: A Convolutional Approach [PDF]

open access: yes, 2011
We propose an efficient Adaptive Random Convolutional Network Coding (ARCNC) algorithm to address the issue of field size in random network coding. ARCNC operates as a convolutional code, with the coefficients of local encoding kernels chosen randomly ...
Cai, Ning   +3 more
core   +3 more sources

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