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Harvesting-aware control of wireless sensor nodes using fuzzy logic and differential evolution

机译:使用模糊逻辑和微分进化的无线传感器节点感知收集控制

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Environmental monitoring systems are expected to provide detailed data about their surroundings in a timely fashion. Frequent data sampling is desired to obtain data with high temporal resolution, and frequent wireless transmissions are needed in order to get the data to end users without unnecessary delays. Energy harvesting systems depend, to a large extent, on the energy available in the environment. They need sophisticated control approaches in order to consolidate these requirements with the need for autonomous operation and longevity of the system. This study proposes a novel approach for dynamic control of energy harvesting nodes. It uses fuzzy logic controller evolved by differential evolution. The evolved control system is evaluated in a series of computational experiments that show very promising results.
机译:预期环境监测系统将及时提供有关其周围环境的详细数据。需要频繁的数据采样以获得具有高时间分辨率的数据,并且需要频繁的无线传输以便将数据获得给最终用户而没有不必要的延迟。能量收集系统在很大程度上取决于环境中可用的能量。他们需要复杂的控制方法,以便将这些要求与对系统的自主运行和寿命的要求相结合。这项研究提出了一种新的方法来动态控制能量收集节点。它使用由微分进化法进化的模糊逻辑控制器。不断发展的控制系统在一系列计算实验中得到了评估,这些实验显示出了非常有希望的结果。

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