Results 221 to 230 of about 1,369 (238)

A New Efficient Secure Coding Scheme for Random Linear Network Coding

2013 22nd International Conference on Computer Communication and Networks (ICCCN), 2013
Random Linear Network Coding (RLNC) is a promising technology of Network coding (NC) {that is} verified to be both sufficient and efficient. In this paper, we propose an efficient implementation of coding process, ensuring the security against active and passive attacks, in order to deploy RLNC in real networks, especially on battery constrained mobile
Hassan Noura 0001, Steven Martin 0001, Khaldoun Al Agha   +2 more
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Massive parallelization technique for random linear network coding

2014 International Conference on Big Data and Smart Computing (BIGCOMP), 2014
Random linear network coding (RLNC) has gain popularity as a useful performance-enhancing tool for communications networks. In this paper, we propose a RLNC parallel implementation technique for General Purpose Graphical Processing Units (GPGPUs.) Recently, GPGPU technology has paved the way for parallelizing RLNC; however, current state-of-the-art ...
Seong-Min Choi, Joon-Sang Park
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The precoding problem for sparse random linear network coding

2012 International Symposium on Network Coding (NetCod), 2012
In the random linear network coding scenario with subspace codes applied, if the number of packets injected into the network is larger than the dimension of the subspace, the packets are not linearly independent. This paper addresses the problem of how to choose these packets to represent the subspaces so as to minimize the decoding failure probability
Xiaolin Li 0009, Wai Ho Mow
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Random linear network coding for peer-to-peer applications

IEEE Network, 2010
Random linear network coding has been demonstrated to be able to improve the performance of many peer-to-peer applications, such as content distribution, multimedia streaming, distributed storage, and wireless communications. We first survey recent research progress in applying RLNC in P2P content distribution and multimedia streaming, respectively. We
Xiaowen Chu 0001, Yixin Jiang
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On Randomized Linear Network Codes and Their Error Correction Capabilities

IEEE Transactions on Information Theory, 2009
Randomized linear network code for single source multicast was introduced and analyzed in Ho et al. (IEEE Transactions on Information Theory, October 2006) where the main results are upper bounds for the failure probability of the code. In this paper, these bounds are improved and tightness of the new bounds is studied by analyzing the limiting ...
Huseyin Balli, Xijin Yan, Zhen Zhang 0010   +2 more
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Joint Random Linear Network Coding and Convolutional Code with Interleaving for Multihop Wireless Network

2013 27th International Conference on Advanced Information Networking and Applications Workshops, 2013
Error control techniques are designed to ensure reliable data transfer over unreliable communication channels that are frequently subjected to channel errors. In this paper, the effect of applying a convolution code to the Scattered Random Network Coding (SRNC) scheme over a multi-hop wireless channel was studied. An interleaver was implemented for bit
Misfa Susanto, Yim-Fun Hu, Prashant Pillai   +2 more
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On the limiting behavior of Random Linear Network Codes

2009 Workshop on Network Coding, Theory, and Applications, 2009
The performance analysis of Random Linear Network Codes is important both theoretically and for its applications. In this paper, we derive improved upper bounds for the failure probability of random linear network codes and analyze the limiting behavior as the field size goes to infinity. Unlike the previously reported bounds, the new bound is shown to
H. Balli, null Zhen Zhang
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Lightweight Encryption for Random Linear Network Coding

2016
Researchers have shown that network coding can help reduce the energy consumption of communication by reducing transmissions.
Peng Zhang, Chuang Lin
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Subspace Authentication for Random Linear Network Coding

2016
As is introduced in Chap. 2, network coding is notoriously susceptible to pollution attacks: a single polluted packet can end up corrupting bunches of good ones.
Peng Zhang, Chuang Lin
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Latency performance of encoding with random linear network coding

2018
In this paper, we present a performance study of the impact of generation and symbol sizes on latency for encoding with Random Linear Network Coding (RLNC). This analysis is important for low latency applications of RLNC as well as data storage applications that use large blocks of data, where the encoding process can be parallelized based on system ...
Nielsen, Lars, Hansen, René Rydhof, Lucani Rötter, Daniel Enrique   +2 more
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