Clustering and data sensing method applied to wireless sensor of photovoltaic power station
A wireless sensor and photovoltaic power station technology, applied in wireless communication, services based on specific environments, electrical components, etc., can solve the problems that the photovoltaic power station monitoring system cannot meet the needs of large amounts of data collection, perception and fast and accurate processing, and achieve good scalability , uniform distribution and good scalability
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[0069] A clustering and data sensing method applied to wireless sensors in photovoltaic power plants, the method is divided into the following steps:
[0070] Step A. Establish a clustering model:
[0071] Combining the Sierpinski triangle with the hexagonal cellular topology to establish a new ideal clustering model proceeds as follows:
[0072] (1) The entire area presents a regular hexagon, consisting of several regular triangles. There are a total of N nodes and a sink node. N sensors are randomly and evenly distributed in all regular triangle areas, ignoring the edge irregular areas.
[0073] The area of the above-mentioned regular triangle is used to determine the size of the cluster, that is, to determine the size of the node N. The calculation method of the area of the regular triangle is as follows:
[0074] Assuming that the side length of the equilateral triangle is R, the area of the equilateral triangle is
[0075] Let the node distribution density be λ,...
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