文章基本信息

标题：Clustering Analysis of Wireless Sensor Network Based on Network Coding with Low-Density Parity Check
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作者：Maria Hammouti ; El Miloud Ar-reyouchi ; Kamal Ghoumid 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2016
卷号：7
期号：3
DOI：10.14569/IJACSA.2016.070319
出版社：Science and Information Society (SAI)
摘要：The number of nodes in wireless sensor networks (WSNs) is one of the fundamental parameters when it comes to developing an algorithm based on Network Coding (NC) with LDPC (Low Density Parity Check) code because it directly affects the size of the generator matrix of the LDPC code and to its dispersion. Optimizing Wireless Communication Systems by decreasing BER (Bit Error Rate) is one approach to analyze the network into clusters (at the level of their nodes). In this paper, the authors present a fully distributed clustering algorithm and they consider different node values by cluster, then they select the curves that have the best compromise. They examine the effects of SNR (Signal-to-noise ratio) quantization on system performance obtained for different scenarios (by varying the parameter corresponding to the number of the symbol during the forwarding phase). Finally, the results prove that the increased number nodes improve LDPC code properties.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Clustering Techniques; Network Coding; LDPC codes; distributed algorithms; wireless sensor network