| METHOD FOR NEURAL NETWORK CLUSTERING OF SPATIALLY DISTRIBUTED WIRELESS SENSOR NETWORK | |
| 2024-03-11 | |
| 专利权人 | YAROSLAVL HIGHER MILITARY SCHOOL AIR DEF (YARO-Non-standard) |
| 申请日期 | 2024-03-11 |
| 专利号 | RU2836294-C1 |
| 成果简介 | NOVELTY - Invention relates to wireless networks and telecommunications and can be used in hierarchical routing protocols of spatially distributed self-organizing wireless sensor networks (WSN). Method involves hierarchical division of structural elements of the WSN into head and "slave" cluster nodes using a self-organizing artificial neural network (ANN) of Kohonen, which is trained using normalized values of the training WSN matrix. Training WSN matrix is formed by calculating the Hadamard product of the connectivity matrix and the utility matrix of the network. Structure of the entire WSN is described based on a utility matrix represented by a weighted directed graph of the network. WSN clustering data are used when forming communication information directions to provide inter-cluster and intra-cluster interaction between WSN nodes. USE - Wireless communication network. ADVANTAGE - High stability of information interaction between WSN nodes by taking into account additional parameters of functioning of network nodes and longer time of relevance of results of clustering of WSN nodes in conditions of high dynamics of WSN topology. 1 cl, 11 dwg |
| IPC 分类号 | G06N-003/088 ; H04W-040/32 ; H04W-084/18 |
| 国家 | 俄罗斯 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/17776 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | YAROSLAVL HIGHER MILITARY SCHOOL AIR DEF (YARO-Non-standard) |
| 推荐引用方式 GB/T 7714 | TIKHONOV V B,KLETSKOV D A,BOGDANOVSKY S V,et al. METHOD FOR NEURAL NETWORK CLUSTERING OF SPATIALLY DISTRIBUTED WIRELESS SENSOR NETWORK. RU2836294-C1[P]. 2024. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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