Results 11 to 20 of about 57,544 (244)

The Average Failure Probabilities of Random Linear Network Coding

open access: yesIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2011
In network coding, for the case that the network topology is unknown completely, random linear network coding has been proposed as an acceptable coding technique. In this paper, we define average failure probability of random linear network coding in order to characterize the performance of random network coding, and then analyze this failure ...
Xuan Guang, Fang-Wei Fu
exaly   +2 more sources

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.
Ioannis Chatzigeorgiou, Andrea Tassi
exaly   +5 more sources

On the Decodability of Random Linear Network Coding in Acyclic Networks

open access: yesIEICE Transactions on Communications, 2012
TARNOI, Saran   +2 more
exaly   +2 more sources

Scalable Network Coding for Heterogeneous Devices over Embedded Fields

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   +1 more source

Design and Analysis of Systematic Batched Network Codes

open access: yesEntropy, 2023
Systematic codes are of important practical interest for communications. Network coding, however, seems to conflict with systematic codes: although the source node can transmit message packets, network coding at the intermediate network nodes may ...
Licheng Mao   +3 more
doaj   +1 more source

On the performance of Random Linear Network Coding in relay networks [PDF]

open access: yesMILCOM 2008 - 2008 IEEE Military Communications Conference, 2008
We compare the reliability performance gain of Random Linear Network Coding (RLNC) with Automatic Repeat Request (ARQ) for a wireless relay network taking into account overhead and complexity of feedback mechanism as well as overhead due to encoding vector embedded in packet header under RLNC.
Khalili, R   +3 more
openaire   +2 more sources

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

open access: yesIEEE 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   +1 more source

Random Linear Network Coding on Programmable Switches [PDF]

open access: yes2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), 2019
By extending the traditional store-and-forward mechanism, network coding has the capability to improve a network's throughput, robustness, and security. Given the fundamentally different packet processing required by this new paradigm and the inflexibility of hardware, existing solutions are based on software. As a result, they have limited performance
Diogo Gonçalves 0002   +3 more
openaire   +4 more sources

Fulcrum Rateless Multicast Distributed Coding Design

open access: yesIEEE Access, 2023
Establishing reliable and efficient multicast services in heterogeneous networks under an erasure channel is one of the current priorities in coding theory, particularly in Network Coding (NC) over data networks.
Yair Rivera Julio   +2 more
doaj   +1 more source

Reliability of Relay Networks Under Random Linear Network Coding [PDF]

open access: yesIEEE Transactions on Communications, 2019
We consider a single-source, multiple-relay, single-destination lossy network employing Random Linear Network coding at all transmitting nodes. We address the problem of calculating the probability of successful decoding at the destination node. In contrast with some previous studies, we assume the classical RLNC scheme, in which the relaying nodes ...
Evgeny Tsimbalo, Magnus Sandell
openaire   +2 more sources

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