Results 31 to 40 of about 57,544 (244)

Efficient Data Dissemination Strategy for VANETs Based on Network Coding [PDF]

open access: yesJisuanji gongcheng, 2016
In Vehicular Ad-hoc Networks(VANETs),due to the unstable network environment,the Road Side Unit(RSU) can not transmit data quickly,efficiently,and reliably to vehicles.This paper proposes a RSU multicast retransmission algorithm based on network coding ...
WANG Shujuan,YIN Jiao
doaj   +1 more source

On Random Linear Network Coding for Butterfly Network

open access: yesCoRR, 2010
This paper was submitted to IEEE Communications ...
Xuan Guang, Fang-Wei Fu 0001
openaire   +2 more sources

ComboCoding: Combined intra-/inter-flow network coding for TCP over disruptive MANETs

open access: yesJournal of Advanced Research, 2011
TCP over wireless networks is challenging due to random losses and ACK interference. Although network coding schemes have been proposed to improve TCP robustness against extreme random losses, a critical problem still remains of DATA–ACK interference. To
Chien-Chia Chen   +5 more
doaj   +1 more source

MATIN: a random network coding based framework for high quality peer-to-peer live video streaming. [PDF]

open access: yesPLoS ONE, 2013
In recent years, Random Network Coding (RNC) has emerged as a promising solution for efficient Peer-to-Peer (P2P) video multicasting over the Internet. This probably refers to this fact that RNC noticeably increases the error resiliency and throughput of
Behrang Barekatain   +7 more
doaj   +1 more source

SpaRec: Sparse Systematic RLNC Recoding in Multi-Hop Networks

open access: yesIEEE 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   +1 more source

Linear-Complexity Overhead-Optimized Random Linear Network Codes

open access: yesCoRR, 2013
Sparse random linear network coding (SRLNC) is an attractive technique proposed in the literature to reduce the decoding complexity of random linear network coding. Recognizing the fact that the existing SRLNC schemes are not efficient in terms of the required reception overhead, we consider the problem of designing overhead-optimized SRLNC schemes. To
Kaveh Mahdaviani   +2 more
openaire   +2 more sources

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

PACE: Redundancy Engineering in RLNC for Low-Latency Communication

open access: yesIEEE 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   +1 more source

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

open access: yesFEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson   +6 more
wiley   +1 more source

Distributed Intrusion Detection of Byzantine Attacks in Wireless Networks with Random Linear Network Coding

open access: yesInternational Journal of Distributed Sensor Networks, 2012
Network coding (NC) can be applied to achieve the maximal information flow in a network. In energy-constraint wireless networks such as wireless sensor networks, applying NC can further reduce the number of wireless transmissions and hence prolong the ...
Jen-Yeu Chen, Yi-Ying Tseng
doaj   +1 more source

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