Results 11 to 20 of about 53,924 (297)

Adjustable random linear network coding (ARLNC): A solution for data transmission in dynamic IoT computational environments

open access: diamondDigital Communications and Networks
In mobile computing environments, most IoT devices connected to networks experience variable error rates and possess limited bandwidth. The conventional method of retransmitting lost information during transmission, commonly used in data transmission ...
Raffi Dilanchian   +2 more
doaj   +2 more sources

The Failure Probability of Random Linear Network Coding for Networks [PDF]

open access: green, 2013
5 pages, submitted to ISIT 2013. And add the interpretation of the notation $CUT_{t,k}^{out}$ to original manuscript (in column 2, page 2 ...
Xuan Guang, Fang‐Wei Fu
openalex   +3 more sources

Random Linear Network Coding For Time Division Duplexing: Energy Analysis [PDF]

open access: green2009 IEEE International Conference on Communications, 2009
We study the energy performance of random linear network coding for time division duplexing channels. We assume a packet erasure channel with nodes that cannot transmit and receive information simultaneously. The sender transmits coded data packets back-to-back before stopping to wait for the receiver to acknowledge the number of degrees of freedom, if
Daniel E. Lucani   +2 more
openalex   +5 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

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

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

Reliability of Multicast Under Random Linear Network Coding [PDF]

open access: yesIEEE Transactions on Communications, 2018
To appear on IEEE Transactions on ...
Evgeny Tsimbalo   +2 more
openaire   +4 more sources

Exact Decoding Probability Under Random Linear Network Coding [PDF]

open access: yesIEEE Communications Letters, 2011
In this letter, we compute the exact probability that a receiver obtains N linearly independent packets among K ≥ N received packets, when the sender/s use/s random linear network coding over a Galois Field of size q. Such condition maps to the receiver's capability to decode the original information, and its mathematical characterization helps to ...
Trullols Cruces, Óscar   +2 more
openaire   +4 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

Minimal header overhead for random linear network coding [PDF]

open access: yes2015 IEEE International Conference on Communication Workshop (ICCW), 2015
The energy used to transmit a single bit of data between the devices in wireless networks is equal to the energy for performing hundreds of instructions in those devices. Thus the reduction of the data necessary to transmit, while keeping the same functionality of the employed algorithms is a formidable and challenging scientific task.
Gligoroski, Danilo   +2 more
openaire   +2 more sources

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