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Caterpillar RLNC (CRLNC): A Practical Finite Sliding Window RLNC Approach

open access: goldIEEE 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

Progressive Multicore RLNC Decoding With Online DAG Scheduling [PDF]

open access: goldIEEE 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).
Simon Wunderlich   +2 more
doaj   +3 more sources

SpaRec: Sparse Systematic RLNC Recoding in Multi-Hop Networks [PDF]

open access: goldIEEE 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

PACE: Redundancy Engineering in RLNC for Low-Latency Communication

open access: goldIEEE 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

RS-RLNC: A Reinforcement Learning-Based Selective Random Linear Network Coding Framework for Tactile Internet [PDF]

open access: goldIEEE Access, 2023
Tactile Internet (TI) has very stringent networking requirements and the transport layer plays a crucial role in meeting these requirements. However, the transport layer has several inherent limitations (e.g., bufferbloat, incast issue, and head of line ...
Shahzad   +3 more
doaj   +5 more sources

Learning-Based Adaptive Sliding-Window RLNC for High Bandwidth-Delay Product Networks [PDF]

open access: goldIEEE 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   +3 more sources

Scalable Network Coding for Heterogeneous Devices over Embedded Fields [PDF]

open access: yesEntropy, 2022
In complex network environments, there always exist heterogeneous devices with different computational powers. In this work, we propose a novel scalable random linear network coding (RLNC) framework based on embedded fields, so as to endow heterogeneous ...
Hanqi Tang   +4 more
doaj   +2 more sources

Efficient Communications in V2V Networks with Two-Way Lanes Based on Random Linear Network Coding [PDF]

open access: yesEntropy, 2023
Vehicle-to-vehicle (V2V) communication has gained significant attention in the field of intelligent transportation systems. In this paper, we focus on communication scenarios involving vehicles moving in the same and opposite directions. Specifically, we
Yiqian Zhang, Tiantian Zhu, Congduan Li
doaj   +2 more sources

Network Coding Approaches for Distributed Computation over Lossy Wireless Networks [PDF]

open access: yesEntropy, 2023
In wireless distributed computing systems, worker nodes connect to a master node wirelessly and perform large-scale computational tasks that are parallelized across them.
Bin Fan, Bin Tang, Zhihao Qu, Baoliu Ye
doaj   +2 more sources

Network Coding for Efficient Video Multicast in Device-to-Device Communications [PDF]

open access: yesSensors, 2020
Device-to-Device (D2D) communication is one of the critical technologies for the fifth-generation network, which allows devices to communicate directly with each other while increasing transmission rate, but this communication is vulnerable to ...
Lei Wang   +5 more
doaj   +2 more sources

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