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Marine biological ecological environment monitoring based on complex dynamic network model

机译:基于复杂动态网络模型的海洋生物生态环境监测

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摘要

In order to improve the monitoring capability of marine biological ecological environment, a monitoring model of marine biological ecological environment based on complex dynamic network model is proposed, and an optimal deployment method of complex dynamic network nodes for marine biological ecological environment monitoring based on multi-sensor fusion tracking scheduling is constructed. An optimized topological structure model of a complex dynamic network node for marine biological ecological environment monitoring is constructed; an output link model of the marine biological ecological environment monitoring network node is designed by combining a node output load balancing adjustment method; a spatial link block balancing scheduling technology is adopted for adaptive weighted learning of multiple coverage links of the marine biological ecological environment monitoring network node; a multi-sensor fusion tracking scheduling method is adopted to construct a multi-coverage link equilibrium scheduling model of marine biological ecological environment monitoring network nodes; a complex dynamic network node coverage analysis is carried out by combining a hierarchical analysis method; an optimal deployment model of the complex dynamic network node for marine biological ecological environment monitoring is established; and the optimal deployment of the complex dynamic network node for marine biological ecological environment monitoring is realized by combining a principal component analysis method and a fuzzy clustering method. The simulation results show that the optimized deployment of complex dynamic network nodes for marine bio-ecological environment monitoring by the method has better intelligence and scheduling accuracy, reduces the error rate of network communication, and improves the balanced deployment capability of complex dynamic network nodes for marine bio-ecological environment monitoring. The stability of data transmission is improved. It provides a favorable basis for marine ecological environment monitoring.
机译:为了提高海洋生态环境的监测能力,提出了一种基于复杂动态网络模型的海洋生物生态环境监测模型,以及基于多元的海洋生物生态环境监测复杂动态网络节点的最优部署方法构建传感器融合跟踪调度。建设了一种用于海洋生物生态环境监测的复杂动态网络节点的优化拓扑结构模型;通过组合节点输出负载平衡调节方法,设计了海洋生物生态环境监测网络节点的输出链路模型;采用了空间链路块平衡调度技术,用于海洋生物生态环境监测网络节点的多个覆盖链路的自适应加权学习;采用多传感器融合跟踪调度方法来构建海洋生物生态环境监测网络节点的多覆盖链路平衡调度模型;通过组合分层分析方法来执行复杂的动态网络节点覆盖分析;建立了海洋生物生态环境监测的复杂动态网络节点的最佳部署模型;通过组合主成分分析方法和模糊聚类方法,实现了用于海洋生物生态环境监测的复杂动态网络节点的最佳部署。仿真结果表明,该方法对海洋生物生态环境监测的复杂动态网络节点的优化部署具有更好的智能和调度准确性,降低了网络通信的错误率,并提高了复杂动态网络节点的平衡部署能力海洋生物生态环境监测。提高了数据传输的稳定性。它为海洋生态环境监测提供了有利的基础。

著录项

  • 来源
    《Oceanographic Literature Review》 |2021年第7期|1567-1568|共2页
  • 作者

    Y. Yu; Y. Nie; Y. Yao; L. Jing;

  • 作者单位

    Department of Physics Key Laboratory of Internet of Things at School Level Jining Normal University Wulanchabu 012000 China;

    Department of Physics Key Laboratory of Internet of Things at School Level Jining Normal University Wulanchabu 012000 China;

    Department of Physics Key Laboratory of Internet of Things at School Level Jining Normal University Wulanchabu 012000 China;

    Department of Physics Key Laboratory of Internet of Things at School Level Jining Normal University Wulanchabu 012000 China;

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  • 正文语种 eng
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  • 入库时间 2022-08-19 02:27:51

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