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Node cooperation based support vector machine localization algorithm in mobile wireless sensor networks

机译:无线传感器网络中基于节点协作的支持向量机定位算法

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In wireless sensor networks (WSNs), locations of sensors play a critical role in many applications. For some applications, the nodes are constantly moving in the network. Therefore, the positions of nodes in mobile WSNs can not be determined by current static localization algorithms. To solve this problem, a new centralized localization algorithm called node cooperation based support vector machine localization (NCBSVML) algorithm for mobile wireless sensor networks is proposed. NCBSVML algorithm classified the network into many classes, and justifies which class is node in. Then the NCBSVML algorithm determines the node location by filtering the impossible locations based on new observations. Our approach does not require additional hardware and works even when the movement of anchors and nodes is uncontrollable. The properties of our technique are analyzed from simulations. Our scheme outperforms the best known mobile localization schemes in accuracy and precision under a wide range of conditions.
机译:在无线传感器网络(WSN)中,传感器的位置在许多应用中起着至关重要的作用。对于某些应用程序,节点在网络中不断移动。因此,无法通过当前的静态定位算法确定移动WSN中节点的位置。为了解决这个问题,提出了一种新的集中式定位算法,称为基于节点协作的支持向量机定位(NCBSVML)算法,用于移动无线传感器网络。 NCBSVML算法将网络分为多个类别,并确定节点属于哪个类别。然后,NCBSVML算法通过根据新的观察结果过滤不可能的位置来确定节点的位置。我们的方法不需要额外的硬件,即使锚点和节点的移动无法控制,它也可以工作。我们的技术的性能是通过仿真分析的。在广泛的条件下,我们的方案在准确性和精确度方面均胜过最著名的移动定位方案。

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