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29 April 2022 Broadband micro-power network fault detection method based on clustering
Zhengjie Peng, Jianmin Li, Bei Jiang, Chun Wen
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Proceedings Volume 12255, 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022); 1225513 (2022) https://doi.org/10.1117/12.2638640
Event: 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022), 2022, Chongqing, China
Abstract
Broadband Micropower Network is a Distributed Self-Organizing Network. Networks are deployed in complex environments, and various interference factors may cause network failures. Aiming at the problems of low fault detection accuracy, high detection process complexity and low detection efficiency of broadband micropower network at this stage, this paper proposes a fault detection method based on network clustering. The method first uses the LEACH clustering algorithm to form the cluster head node, and through the reliability judgment of the cluster head node and the detection of the nodes in the cluster, the resource consumption is reduced while ensuring the reliability of node detection. In this paper, the optimal threshold for intra-cluster detection is obtained through theoretical derivation and simulation experiments. The experimental results show that under the optimal threshold, increasing the density of nodes in the cluster can improve the fault detection rate.
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Zhengjie Peng, Jianmin Li, Bei Jiang, and Chun Wen "Broadband micro-power network fault detection method based on clustering", Proc. SPIE 12255, 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022), 1225513 (29 April 2022); https://doi.org/10.1117/12.2638640
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KEYWORDS
Broadband telecommunications
Reliability
Networks
Network architectures
Detection and tracking algorithms
Computer simulations
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