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Relevant bibliographies by topics / Network Error Correcting Codes

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Academic literature on the topic 'Network Error Correcting Codes'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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Journal articles on the topic "Network Error Correcting Codes"

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Belhamra, Mohamed Amine, and El Mamoun Souidi. "Error Correcting Network Codes." Computer Networks 197 (October 2021): 108277. http://dx.doi.org/10.1016/j.comnet.2021.108277.

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Vladimirov, Sergey, Alexey Gutovskiy, and Artem Fomin. "Linear network coding with forward error correction in wireless packet relaying system." Telecom IT 10, no. 1 (June 15, 2022): 21–33. http://dx.doi.org/10.31854/2307-1303-2022-10-1-21-33.

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Research subject. The paper presents the results of comparing three byte error-correcting codes according to their probabilistic characteristics in a system with network coding. Method. Simulation modeling has been carried out to determine the probabilistic characteristics of byte error-correcting codes for a transmission system with network coding. The principles of coding and decoding of the studied codes are considered. Core results. The probabilistic characteristics of byte error-correcting codes are determined and presented, and recommendations are developed for their use in a transmission system with network coding, depending on its purpose. Practical relevance. The application of the considered error-correcting codes for the construction of transmission systems with network coding is proposed. The applicability of these codes in the development of applied byte protocols that require the use of forward error correction mechanisms in communication channels is noted.

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Prasad, K., and B. Sundar Rajan. "Network-Error Correcting Codes using Small Fields." IEEE Transactions on Communications 62, no. 2 (February 2014): 423–33. http://dx.doi.org/10.1109/tcomm.2014.010414.130329.

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SHOOMAN, MARTIN L., and FRANK A. CASSARA. "RELIABILITY OF ERROR CORRECTING CODES ON WIRELESS INFORMATION NETWORKS." International Journal of Reliability, Quality and Safety Engineering 03, no. 04 (December 1996): 283–304. http://dx.doi.org/10.1142/s0218539396000193.

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Error correcting codes are well known techniques for improving bit error rate (BER) performance in digital communication systems and are particularly important in wireless information networks to help establish reliable communication links. This paper examines the effect of coder/decoder circuitry failures on the overall communication system performance. A system analysis of the error correction coding scheme performance must include an evaluation of the reliability of the coder/decoder circuitry because their failures also serve as a source of undetected errors. The parity bit code, Hamming single error correcting and detecting code, and the Reed–Solomon code are included in the study. Results reveal that for applications as described in the text that require low bit error rate and operate at low data rates, the reliability of the coding circuitry can play a significant role in determining overall system performance. In fact, for such error and data rates, a simpler coding scheme with higher circuit reliability may actually be more beneficial than a more complex coding scheme with enhanced error correcting ability but with a higher chip failure rate.

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Krishnan, Prasad, and B. Sundar Rajan. "A Matroidal Framework for Network-Error Correcting Codes." IEEE Transactions on Information Theory 61, no. 2 (February 2015): 836–72. http://dx.doi.org/10.1109/tit.2014.2375332.

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Razali, Samirah, Kamaruddin Mamat, and Nor Shahniza Kamal Bashah. "Multiple error correction towards optimisation of energy in sensor network." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (March 1, 2019): 1208. http://dx.doi.org/10.11591/ijeecs.v13.i3.pp1208-1220.

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<span>Hybrid ARQ (HARQ) is among the optimum error controls implemented in Wireless Sensor Network as it reduces the overhead from retransmission and error correcting codes. The advancement in WSN includes the usage of high number of nodes and the increase in traffic with large data transmitted among the nodes had concerned the need for a new approach in error control algorithm. This paper proposed the multiple error correction based on HARQ process to aid the changes in channel with proper error correction assignment towards optimising the performances of WSN in terms of bit error rates, remaining energy, and latency for different types of congestion and channel conditions. In this study, we have developed the channel adaptation algorithm that can adapt to sudden changes and demonstrated the optimal error correcting codes as well as adjustment on the transmit power for the given channel condition and congestion presented. From the result analysed, the optimisation between the remaining energy and Bit Error rates happened on the basis of adapting to these different channel condition and congestion to minimize redundancies appended. From the result obtained, we concluded that by using multiple error correction algorithm with the aid of adjustment on the transmit power, the remaining energy can be optimised together with Bit Error rates and the excessive redundancies can be reduced</span>

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Samadi-Khaftari, Vahid, Morteza Esmaeili, and Thomas Aaron Gulliver. "Construction of MDS Convolutional Error-Correcting Network Codes Over Cyclic Networks." IEEE Transactions on Communications 65, no. 6 (June 2017): 2305–18. http://dx.doi.org/10.1109/tcomm.2017.2680441.

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Manin, Yuri I. "Error-correcting codes and neural networks." Selecta Mathematica 24, no. 1 (October 19, 2016): 521–30. http://dx.doi.org/10.1007/s00029-016-0284-4.

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Zhuang, Zhuojun, A. J. Han Vinck, Yuan Luo, and Bin Dai. "Secure error-correcting network codes with side information leakage." IET Communications 9, no. 8 (May 21, 2015): 1068–75. http://dx.doi.org/10.1049/iet-com.2014.0870.

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Li, Aoqing, Fan Li, Qidi Gan, and Hongyang Ma. "Convolutional-Neural-Network-Based Hexagonal Quantum Error Correction Decoder." Applied Sciences 13, no. 17 (August 27, 2023): 9689. http://dx.doi.org/10.3390/app13179689.

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Topological quantum error-correcting codes are an important tool for realizing fault-tolerant quantum computers. Heavy hexagonal coding is a new class of quantum error-correcting coding that assigns physical and auxiliary qubits to the vertices and edges of a low-degree graph. The layout of heavy hexagonal codes is particularly suitable for superconducting qubit architectures to reduce frequency conflicts and crosstalk. Although various topological code decoders have been proposed, constructing the optimal decoder remains challenging. Machine learning is an effective decoding scheme for topological codes, and in this paper, we propose a machine learning heavy hexagonal decoder based on a convolutional neural network (CNN) to obtain the decoding threshold. We test our method on heavy hexagonal codes with code distance of three, five, and seven, and increase it to five, seven, and nine by optimizing the RestNet network architecture. Our results show that the decoder thresholding accuracies are about 0.57% and 0.65%, respectively, which are about 25% higher than the conventional decoding scheme under the depolarizing noise model. The proposed decoding architecture is also applicable to other topological code families.

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Dissertations / Theses on the topic "Network Error Correcting Codes"

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Shen, Bingxin. "Application of Error Correction Codes in Wireless Sensor Networks." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/ShenB2007.pdf.

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Tezeren, Serdar U. "Reed-Muller codes in error correction in wireless adhoc networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FTezeren.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, March 2004.
Thesis advisor(s): Murali Tummala, Roberto Cristi. Includes bibliographical references (p. 133-134). Also available online.

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Lee, Yen-Chi. "Error resilient video streaming over lossy networks." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04082004-180302/unrestricted/lee%5fyen-chi%5f200312%5fphd.pdf.

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Wong, Kin-Fung. "Lateral error recovery for application-level multicast /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?COMP%202004%20WONGK.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.
Includes bibliographical references (leaves 48-52). Also available in electronic version. Access restricted to campus users.

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Wang, Xiao-an. "Trellis based decoders and neural network implementations." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/13730.

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Hua, Nan. "Space-efficient data sketching algorithms for network applications." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44899.

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Sketching techniques are widely adopted in network applications. Sketching algorithms “encode” data into succinct data structures that can later be accessed and “decoded” for various purposes, such as network measurement, accounting, anomaly detection and etc. Bloom filters and counter braids are two well-known representatives in this category. Those sketching algorithms usually need to strike a tradeoff between performance (how much information can be revealed and how fast) and cost (storage, transmission and computation). This dissertation is dedicated to the research and development of several sketching techniques including improved forms of stateful Bloom Filters, Statistical Counter Arrays and Error Estimating Codes. Bloom filter is a space-efficient randomized data structure for approximately representing a set in order to support membership queries. Bloom filter and its variants have found widespread use in many networking applications, where it is important to minimize the cost of storing and communicating network data. In this thesis, we propose a family of Bloom Filter variants augmented by rank-indexing method. We will show such augmentation can bring a significant reduction of space and also the number of memory accesses, especially when deletions of set elements from the Bloom Filter need to be supported. Exact active counter array is another important building block in many sketching algorithms, where storage cost of the array is of paramount concern. Previous approaches reduce the storage costs while either losing accuracy or supporting only passive measurements. In this thesis, we propose an exact statistics counter array architecture that can support active measurements (real-time read and write). It also leverages the aforementioned rank-indexing method and exploits statistical multiplexing to minimize the storage costs of the counter array. Error estimating coding (EEC) has recently been established as an important tool to estimate bit error rates in the transmission of packets over wireless links. In essence, the EEC problem is also a sketching problem, since the EEC codes can be viewed as a sketch of the packet sent, which is decoded by the receiver to estimate bit error rate. In this thesis, we will first investigate the asymptotic bound of error estimating coding by viewing the problem from two-party computation perspective and then investigate its coding/decoding efficiency using Fisher information analysis. Further, we develop several sketching techniques including Enhanced tug-of-war(EToW) sketch and the generalized EEC (gEEC)sketch family which can achieve around 70% reduction of sketch size with similar estimation accuracies. For all solutions proposed above, we will use theoretical tools such as information theory and communication complexity to investigate how far our proposed solutions are away from the theoretical optimal. We will show that the proposed techniques are asymptotically or empirically very close to the theoretical bounds.

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Emani, Krishna Chaitanya Suryavenkata. "Application of hybrid ARQ to controller area networks." Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.mst.edu/thesis/pdf/Krishna_C_Emani_09007dcc804e7970.pdf.

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Thesis (M.S.)--University of Missouri--Rolla, 2007.
Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 21, 2008) Includes bibliographical references (p. 48).

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Pishro-Nik, Hossein. "Applications of Random Graphs to Design and Analysis of LDPC Codes and Sensor Networks." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7722.

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This thesis investigates a graph and information theoretic approach to design and analysis of low-density parity-check (LDPC) codes and wireless networks. In this work, both LDPC codes and wireless networks are considered as random graphs. This work proposes solutions to important theoretic and practical open problems in LDPC coding, and for the first time introduces a framework for analysis of finite wireless networks. LDPC codes are considered to be one of the best classes of error-correcting codes. In this thesis, several problems in this area are studied. First, an improved decoding algorithm for LDPC codes is introduced. Compared to the standard iterative decoding, the proposed decoding algorithm can result in several orders of magnitude lower bit error rates, while having almost the same complexity. Second, this work presents a variety of bounds on the achievable performance of different LDPC coding scenarios. Third, it studies rate-compatible LDPC codes and provides fundamental properties of these codes. It also shows guidelines for optimal design of rate-compatible codes. Finally, it studies non-uniform and unequal error protection using LDPC codes and explores their applications to data storage systems and communication networks. It presents a new error-control scheme for volume holographic memory (VHM) systems and shows that the new method can increase the storage capacity by more than fifty percent compared to previous schemes. This work also investigates the application of random graphs to the design and analysis of wireless ad hoc and sensor networks. It introduces a framework for analysis of finite wireless networks. Such framework was lacking from the literature. Using the framework, different network properties such as capacity, connectivity, coverage, and routing and security algorithms are studied. Finally, connectivity properties of large-scale sensor networks are investigated. It is shown how unreliability of sensors, link failures, and non-uniform distribution of nodes affect the connectivity of sensor networks.

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Zhang, Liren. "Recovery of cell loss in ATM networks using forward error correction coding techniques /." Title page, contents and summary only, 1992. http://web4.library.adelaide.edu.au/theses/09PH/09phz6332.pdf.

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Thesis (Ph. D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1993.
Copies of author's previously published articles inserted. Includes bibliographical references (leaves 179-186).

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Zhang, Jian Electrical Engineering Australian Defence Force Academy UNSW. "Error resilience for video coding services over packet-based networks." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Electrical Engineering, 1999. http://handle.unsw.edu.au/1959.4/38652.

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Error resilience is an important issue when coded video data is transmitted over wired and wireless networks. Errors can be introduced by network congestion, mis-routing and channel noise. These transmission errors can result in bit errors being introduced into the transmitted data or packets of data being completely lost. Consequently, the quality of the decoded video is degraded significantly. This thesis describes new techniques for minimising this degradation. To verify video error resilience tools, it is first necessary to consider the methods used to carry out experimental measurements. For most audio-visual services, streams of both audio and video data need to be simultaneously transmitted on a single channel. The inclusion of the impact of multiplexing schemes, such as MPEG 2 Systems, in error resilience studies is also an important consideration. It is shown that error resilience measurements including the effect of the Systems Layer differ significantly from those based only on the Video Layer. Two major issues of error resilience are investigated within this thesis. They are resynchronisation after error detection and error concealment. Results for resynchronisation using small slices, adaptive slice sizes and macroblock resynchronisation schemes are provided. These measurements show that the macroblock resynchronisation scheme achieves the best performance although it is not included in MPEG2 standard. The performance of the adaptive slice size scheme, however, is similar to that of the macroblock resynchronisation scheme. This approach is compatible with the MPEG 2 standard. The most important contribution of this thesis is a new concealment technique, namely, Decoder Motion Vector Estimation (DMVE). The decoded video quality can be improved significantly with this technique. Basically, this technique utilises the temporal redundancy between the current and the previous frames, and the correlation between lost macroblocks and their surrounding pixels. Therefore, motion estimation can be applied again to search in the previous picture for a match to those lost macroblocks. The process is similar to that the encoder performs, but it is in the decoder. The integration of techniques such as DMVE with small slices, or adaptive slice sizes or macroblock resynchronisation is also evaluated. This provides an overview of the performance produced by individual techniques compared to the combined techniques. Results show that high performance can be achieved by integrating DMVE with an effective resynchronisation scheme, even at a high cell loss rates. The results of this thesis demonstrate clearly that the MPEG 2 standard is capable of providing a high level of error resilience, even in the presence of high loss. The key to this performance is appropriate tuning of encoders and effective concealment in decoders.

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Books on the topic "Network Error Correcting Codes"

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1949-, Beth Thomas, and Clausen Michael, eds. Applicable algebra, error-correcting codes, combinatorics and computer algebra: Proceedings. Berlin: Springer-Verlag, 1988.

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1962-, Chen Xuemin, ed. Error-control coding for data networks. Boston: Kluwer Academic Publishers, 1999.

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Reed, Irving S. Error-control coding for data networks. Boston: Kluwer Academic Publishers, 1999.

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Butterfield, A. Memory models: A formal analysis using VDM. Dublin: Trinity College, Department of Computer Science, 1992.

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Baylis, John. Error-correcting Codes. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4899-3276-1.

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Weldon, E. J. Jr, coaut, ed. Error-Correcting Codes. 2nd ed. Boston: Massachusetts Institute of Technology, 1988.

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Redinbo, Robert. Fault tolerance in space-based digital signal processing and switching systems: Protecting up-link processing resources, demultiplexer, demodulator, and decoder : final report June 1990 - September 1994. [Washington, DC: National Aeronautics and Space Administration, 1994.

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United States. National Aeronautics and Space Administration., ed. Fault tolerance in space-based digital signal processing and switching systems: Protecting up-link processing resources, demultiplexer, demodulator, and decoder : final report June 1990 - September 1994. [Washington, DC: National Aeronautics and Space Administration, 1994.

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Xambó-Descamps, Sebastià. Block Error-Correcting Codes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-18997-5.

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Vera, Pless, ed. Fundamentals of error-correcting codes. Cambridge: Cambridge University Press, 2010.

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Book chapters on the topic "Network Error Correcting Codes"

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Benschop, Nico F. "Fault Tolerant Logic with Error Correcting Codes." In Associative Digital Network Theory, 83–96. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9829-1_6.

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Guang, Xuan, and Zhen Zhang. "Subspace Codes." In Linear Network Error Correction Coding, 95–103. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0588-1_6.

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Hong, Hoon. "Parallelization of quantifier elimination on a workstation network." In Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, 170–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56686-4_42.

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Guang, Xuan, and Zhen Zhang. "Coding Bounds of Linear Network Error Correction Codes." In Linear Network Error Correction Coding, 51–83. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0588-1_4.

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Dinneen, Michael J., Michael R. Fellows, and Vance Faber. "Algebraic constructions of efficient broadcast networks." In Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, 152–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54522-0_104.

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Cohen, Joshua M., Qinshi Wang, and Andrew W. Appel. "Verified Erasure Correction in Coq with MathComp and VST." In Computer Aided Verification, 272–92. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_14.

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AbstractMost methods of data transmission and storage are prone to errors, leading to data loss. Forward erasure correction (FEC) is a method to allow data to be recovered in the presence of errors by encoding the data with redundant parity information determined by an error-correcting code. There are dozens of classes of such codes, many based on sophisticated mathematics, making them difficult to verify using automated tools. In this paper, we present a formal, machine-checked proof of a C implementation of FEC based on Reed-Solomon coding. The C code has been actively used in network defenses for over 25 years, but the algorithm it implements was partially unpublished, and it uses certain optimizations whose correctness was unknown even to the code’s authors. We use Coq’s Mathematical Components library to prove the algorithm’s correctness and the Verified Software Toolchain to prove that the C program correctly implements this algorithm, connecting both using a modular, well-encapsulated structure that could easily be used to verify a high-speed, hardware version of this FEC. This is the first end-to-end, formal proof of a real-world FEC implementation; we verified all previously unknown optimizations and found a latent bug in the code.

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Xia, Shiying, and Minsheng Tan. "The Research of Network Transmission Error Correction Based on Reed-Solomon Codes." In Advances in Intelligent and Soft Computing, 175–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29148-7_25.

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Zhang, Guangzhi, Shaobin Cai, Chunhua Ma, and Dongqiu Zhang. "Universal Secure Error-Correcting (SEC) Schemes for Network Coding via McEliece Cryptosystem Based on QC-LDPC Codes." In Communications in Computer and Information Science, 275–89. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7080-8_20.

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Riis, S., and R. Ahlswede. "Problems in Network Coding and Error Correcting Codes Appended by a Draft Version of S. Riis “Utilising Public Information in Network Coding”." In Lecture Notes in Computer Science, 861–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11889342_56.

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Muhammad, Shehu Jabaka, Sijing Zhang, and Vladimir Dyo. "Application of Error-Correcting Codes (ECCs) for Efficient Message Transmission in Vehicular Ad Hoc Networks (VANETs)." In Advances in Intelligent Systems and Computing, 775–86. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1165-9_71.

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Conference papers on the topic "Network Error Correcting Codes"

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Wang, Qiwen, Sidharth Jaggi, and Shuo-Yen Robert Li. "Binary error correcting network codes." In 2011 IEEE Information Theory Workshop (ITW). IEEE, 2011. http://dx.doi.org/10.1109/itw.2011.6089511.

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Chi-Kin Ngai and R. W. Yeung. "Secure error-correcting (SEC) network codes." In 2009 Workshop on Network Coding, Theory, and Applications (NetCod). IEEE, 2009. http://dx.doi.org/10.1109/netcod.2009.5191401.

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Ngai, Chi Kin, and Shenghao Yang. "Deterministic Secure Error-Correcting (SEC) Network Codes." In 2007 IEEE Information Theory Workshop. IEEE, 2007. http://dx.doi.org/10.1109/itw.2007.4313056.

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Prasad, K., and B. Sundar Rajan. "Network-error correcting codes using small fields." In 2011 IEEE International Symposium on Information Theory - ISIT. IEEE, 2011. http://dx.doi.org/10.1109/isit.2011.6033888.

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Al-Mashouq, K. A. "Neural Network Generalization Using Error Correcting Codes." In IEEE International Conference on Consumer Electronics. IEEE, 1994. http://dx.doi.org/10.1109/icce.1994.582193.

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Gottscho, Mark, Clayton Schoeny, Lara Dolecek, and Puneet Gupta. "Software-Defined Error-Correcting Codes." In 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W). IEEE, 2016. http://dx.doi.org/10.1109/dsn-w.2016.67.

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Prasad, K., and B. Sundar Rajan. "A matroidal framework for network-error correcting codes." In 2012 IEEE International Symposium on Information Theory - ISIT. IEEE, 2012. http://dx.doi.org/10.1109/isit.2012.6283512.

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Tomic, Ratko V. "Optimal networks from error correcting codes." In 2013 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS). IEEE, 2013. http://dx.doi.org/10.1109/ancs.2013.6665199.

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Gligoroski, Danilo, Smile Markovski, and Ljupco Kocarev. "Error-Correcting Codes Based on Quasigroups." In 2007 16th International Conference on Computer Communications and Networks. IEEE, 2007. http://dx.doi.org/10.1109/icccn.2007.4317814.

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Etzion, Tuvi, and Natalia Silberstein. "Construction of error-correcting codes for random network coding." In 2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel (IEEEI). IEEE, 2008. http://dx.doi.org/10.1109/eeei.2008.4736654.

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Reports on the topic "Network Error Correcting Codes"

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Zhang, Xinmiao. Sensor Network Optimization by Using Error-Correcting Codes. Fort Belvoir, VA: Defense Technical Information Center, February 2011. http://dx.doi.org/10.21236/ada565196.

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Auslander, Louis. Weil Transform and Error Correcting Codes. Fort Belvoir, VA: Defense Technical Information Center, July 1996. http://dx.doi.org/10.21236/ada376721.

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Mitchell, Gregory. Investigation of Hamming, Reed-Solomon, and Turbo Forward Error Correcting Codes. Fort Belvoir, VA: Defense Technical Information Center, July 2009. http://dx.doi.org/10.21236/ada505116.

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McEliece, Robert, and Padhraic Smyth. Turbo Decoding of High Performance Error-Correcting Codes via Belief Propagation. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada386835.

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Lala, P. K., and H. L. Martin. Application of Error Correcting Codes in Fault-Tolerant Logic Design for VLSI Circuits. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada228840.

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