Results 31 to 40 of about 139,863 (253)
A fast network coding scheme for mobile wireless sensor networks
International Journal of Distributed Sensor Networks, 2017 In mobile wireless sensor networks, linear network coding has been shown to improve the performance of network throughput and reduce delay. However, the linear dependence of coded packets caused by linear network coding will result in significant ...
Chen Han, Yuwang Yang, Xu Han
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FSW: Fulcrum Sliding Window Coding for Low-Latency Communication
IEEE Access, 2022 Fulcrum Random Linear Network Coding (RLNC) combines outer coding in a large Galois Field, e.g., $GF(2^{8})$ , with inner coding in $GF(2)$ to flexibly trade off the strong protection (low probability of linear dependent coding coefficients) of $GF(2^
Elif Tasdemir +4 more
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Decoding Algorithms for Random Linear Network Codes [PDF]
, 2011 We consider the problem of efficient decoding of a random linear code over a finite field. In particular we are interested in the case where the code is random, relatively sparse, and use the binary finite field as an example. The goal is to decode the data using fewer operations to potentially achieve a high coding throughput, and reduce energy ...
Janus Heide +2 more
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A proposed P2P Kurdistan Academic Network Backbone (KANB), Based on Random Linear Network Coding
Kurdistan Journal of Applied Research, 2017 The current rate of growth in computer network usage is a problematic issue motivates the inspiration to investigate less conventional solutions, similar to Network Coding (NC) which has attracted a lot of attention lately, to improve the bandwidth ...
Raghad Z. Yousif +2 more
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Practical Random Linear Network Coding on GPUs [PDF]
, 2009 Recently, random linear network coding has been widely applied in peer-to-peer network applications. Instead of sharing the raw data with each other, peers in the network produce and send encoded data to each other. As a result, the communication protocols have been greatly simplified, and the applications experience higher end-to-end throughput and ...
Xiaowen Chu 0001, Kaiyong Zhao, Mea Wang
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Punctured Low-Bias Codes Behave Like Random Linear Codes
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS), 2022 Random linear codes are a workhorse in coding theory, and are used to show the existence of codes with the best known or even near-optimal trade-offs in many noise models. However, they have little structure besides linearity, and are not amenable to tractable error-correction algorithms.
Venkatesan Guruswami, Jonathan Mosheiff
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URLLC with Coded Massive MIMO via Random Linear Codes and GRAND
2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), 2022 A present challenge in wireless communications is the assurance of ultra-reliable and low-latency communication (URLLC). While the reliability aspect is well known to be improved by channel coding with long codewords, this usually implies using interleavers, which introduce undesirable delay.
Sahar Allahkaram +2 more
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On Vector Random Linear Network Coding in Wireless Broadcasts
EntropyCompared with scalar linear network coding (LNC) formulated over the finite field GF(2L), vector LNC offers enhanced flexibility in the code design by enabling linear operations over the vector space GF(2)L and demonstrates a number of advantages over ...
Rina Su +3 more
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International 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
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Minimal header overhead for random linear network coding [PDF]
2015 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.
Danilo Gligoroski +2 more
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