Results 11 to 20 of about 786 (123)
SpaRec: Sparse Systematic RLNC Recoding in Multi-Hop Networks
IEEE 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 +3 more sources
Caterpillar RLNC (CRLNC): A Practical Finite Sliding Window RLNC Approach
IEEE Access, 2017 Random linear network coding (RLNC) is a popular coding scheme for improving communication and content distribution over lossy channels. For packet streaming applications, such as video streaming and general IP packet streams, recent research has shown ...
Simon Wunderlich +4 more
doaj +3 more sources
Caterpillar RLNC With Feedback (CRLNC-FB): Reducing Delay in Selective Repeat ARQ Through Coding
IEEE Access, 2018 Wireless networks typically employ some form of forward error correction (FEC) coding and some automatic repeat request (ARQ) protocol to ensure reliable data transmission over lossy channels.
Frank Gabriel +4 more
doaj +3 more sources
The Rank Distribution of Sparse Random Linear Network Coding
IEEE Access, 2019 Sparse random linear network coding (SRLNC) is a promising solution for reducing the complexity of random linear network coding (RLNC). RLNC can be modeled as a linear operator channel (LOC).
Wenlin Chen, Fang Lu, Yan Dong
doaj +3 more sources
PACE: Redundancy Engineering in RLNC for Low-Latency Communication
IEEE Access, 2017 Random linear network coding (RLNC) is attractive for data transfer as well as data storage and retrieval in complex and unreliable settings. The existing systematic RLNC approach first sends all source symbols in a generation without encoding followed ...
Sreekrishna Pandi +5 more
doaj +3 more sources
DSEP Fulcrum: Dynamic Sparsity and Expansion Packets for Fulcrum Network Coding
IEEE Access, 2020 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 source packets and the outer coding expansion packets.
Vu Nguyen +5 more
doaj +3 more sources
Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings. [PDF]
Cogn Sci, 2021 Abstract In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data‐driven, scalable way, which is grounded in language use. We show a unique and reliable relation between measures of language change and age of acquisition (AoA) while controlling for frequency, contextual ...
Cassani G +3 more
europepmc +2 more sources
Electronics Letters, Volume 57, Issue 8, Page 347-350, April 2021., 2021 Abstract The authors present a strategy that improves the reliability of data transmission from multiple sources towards a destination D via multiple relays over wireless channels. After the broadcast phase, the destination selects the best cooperative direct link sources with the highest instantaneous signal‐to‐noise ratio , then generates and sends ...
E. Benamira, F. Merazka, G. K. Kurt
wiley +1 more source
Learning-Based Adaptive Sliding-Window RLNC for High Bandwidth-Delay Product Networks
IEEE Access, 2023 Sliding-window random linear network coding (RLNC) is a good fit for achieving low in-order delivery delay in future-generation networks characterized by lossy links.
Shahzad +3 more
doaj +1 more source
MWAHCA: a multimedia wireless ad hoc cluster architecture. [PDF]
ScientificWorldJournal, 2014 Wireless Ad hoc networks provide a flexible and adaptable infrastructure to transport data over a great variety of environments. Recently, real‐time audio and video data transmission has been increased due to the appearance of many multimedia applications.
Diaz JR, Lloret J, Jimenez JM, Sendra S.
europepmc +2 more sources