Research on Intelligent Monitoring of Offshore Wind Turbine Environment Based on Wireless Transmission and Distributed Computing

Zhichao Wu, Yong Yao, Shizhu Li, Chimg-Chu Yu, Chuan Chen, Tingcheng Huang
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Abstract

The marine ecosystem is a dynamic system, and offshore wind power can make efficient use of marine resources and marine space. Hence, it is important to perform the research on intelligent monitoring of offshore wind turbine environment based on wireless transmission and distributed computing. To this end, we first investigate a mobile edge computing (MEC) system, in which a mobile device offloads its task to several edge nodes (ENs). Specifically, practical MEC scenarios are studied, in which the task of mobile device should be completed within a given latency threshold. Moreover, to faciliate the performance evaluation, we define the outage probability (OP) for the considered MEC system and further analyze the outage performance of the considered MEC system, where an analytical expression of OP as well as the asymptotic one is derived. Finally, we show some simulation and analytical results to verify how some key parameters affect the intelligent monitoring of offshore wind turbine environment based on wireless transmission and distributed computing.
基于无线传输和分布式计算的海上风电机组环境智能监测研究
海洋生态系统是一个动态系统,海上风电可以有效利用海洋资源和海洋空间。因此,开展基于无线传输和分布式计算的海上风电机组环境智能监测研究具有重要意义。为此,我们首先研究了移动边缘计算(MEC)系统,其中移动设备将其任务卸载到几个边缘节点(ENs)。具体来说,研究了实际的MEC场景,其中移动设备的任务应该在给定的延迟阈值内完成。此外,为了便于性能评价,我们定义了所考虑的MEC系统的停机概率(OP),并进一步分析了所考虑的MEC系统的停机性能,导出了OP的解析表达式和渐近表达式。最后给出了仿真和分析结果,验证了基于无线传输和分布式计算的海上风力机环境智能监测中关键参数的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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