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A Cube Based Model for RFID Coverage Problem in Three-Dimensional Space

机译:基于多维数据集的三维空间RFID覆盖问题模型

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In this paper, we consider the RFID reader coverage problem in three-dimensional space. We propose a cube-based model to describe both the reading region of readers and the area covered by reading regions. In our cube-based model, we place a reader into a large cube, which is equally cut into n small cubes. Then, we can use a mathematical three-dimensional matrix to model the reading region and covered area. Finally, we modify the particle swarm optimization (PSO) algorithm to maximize the coverage rate and minimize the overlap rate. Our simulation results show that the proposed model and algorithm are efficient for solving the RFID coverage problem in three-dimensional space.
机译:在本文中,我们考虑了三维空间中的RFID阅读器覆盖问题。我们提出了一个基于多维数据集的模型来描述读者的阅读区域和阅读区域覆盖的区域。在基于多维数据集的模型中,我们将阅读器放入一个大的多维数据集,该数据块同样被切成n个小立方体。然后,我们可以使用数学三维矩阵对阅读区域和覆盖区域建模。最后,我们修改了粒子群优化(PSO)算法,以最大化覆盖率并最小化重叠率。仿真结果表明,所提出的模型和算法能够有效解决三维空间中的RFID覆盖问题。

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