Results 21 to 30 of about 521 (138)
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.
Frank Gabriel +2 more
exaly +3 more sources
On GRAND-Assisted Vector Random Linear Network Coding in Wireless Broadcasts [PDF]
EntropyRecent works have combined random linear network coding (RLNC) with guessing random additive noise decoding (GRAND) to leverage RLNC packets to partially correct bit errors prior to RLNC decoding, so as to reduce the packet erasure rates in wireless ...
Rina Su +3 more
doaj +2 more sources
Weighted BATS Codes with LDPC Precoding [PDF]
Entropy, 2023 Batched Sparse (BATS) codes are a type of network coding scheme that use a combination of random linear network coding (RLNC) and fountain coding to enhance the reliability and efficiency of data transmission. In order to achieve unequal error protection
Wenyue Zhang, Min Zhu
doaj +2 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 +2 more
exaly +3 more sources
A Cloud-Assisted Random Linear Network Coding Medium Access Control Protocol for Healthcare Applications [PDF]
Sensors, 2014 Relay sensor networks are often employed in end-to-end healthcare applications to facilitate the information flow between patient worn sensors and the medical data center. Medium access control (MAC) protocols, based on random linear network coding (RLNC)
Elli Kartsakli +3 more
doaj +2 more sources
Progressive Multicore RLNC Decoding With Online DAG Scheduling
IEEE Access, 2019 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 operations in parallel with an offline (pre-recorded) directed acyclic graph (DAG).
Frank Fitzek +2 more
exaly +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 ...
Frank Gabriel +2 more
exaly +3 more sources
Minimal Increase Network Coding for Dynamic Networks. [PDF]
PLoS ONE, 2016 Because of the mobility, computing power and changeable topology of dynamic networks, it is difficult for random linear network coding (RLNC) in static networks to satisfy the requirements of dynamic networks.
Guoyin Zhang, Xu Fan, Yanxia Wu
doaj +2 more sources
Computational Complexity and Delay Reduction for RLNC Single and Multi-hop Communications [PDF]
, 2023 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 characteristics of the connected devices.
Tasdemir, Elif
core +3 more sources
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 The future communication requirements for industrial automation will differ significantly from existing technologies. Traffic in Industry 4.0 imposes real‐time requirements, requiring ultra‐reliable communication (URC) with high reliability and minimal latency. The demand for ultra‐high reliability as high as 99.999999 percent and as low as 1 ms end‐to‐
Athirah Mohd Ramly +3 more
wiley +1 more source