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Wireless Sensor Network Localization With Imprecise Measurements Using Only a Quadratic Solver

机译:仅使用二次求解器进行不精确测量的无线传感器网络本地化

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The energy constrained wireless sensor nodes need very efficient localization algorithm for event detection. We propose a method for localizing the wireless sensor nodes using the concept of Cayley-Menger Determinants, which in turn uses a quadratic solver. This is a modification of the method proposed in Ref. [5]. Cayley-Menger Detereminants are used to introduce corrections to the noisy measurements, so that the measured distances meets all the Euclidean geometric properties. Ref. [7] uses semidefinite programming with L_1 norm, while Ref. [5] uses quadratic programming combined with Cayley-Menger Determinants. The proposed method is found to be computationally very much simpler and efficient than those in Ref. [7], and [5].
机译:能量受限的无线传感器节点需要非常高效的定位算法来进行事件检测。我们提出了一种使用Cayley-Menger行列式概念来定位无线传感器节点的方法,该方法又使用了二次求解器。这是对参考文献中提出的方法的修改。 [5]。 Cayley-Menger决定因素用于对噪声测量进行校正,以使测得的距离满足所有欧几里得几何特性。参考文献[7]使用具有L_1范数的半定编程,而参考文献。 [5]使用结合Cayley-Menger行列式的二次规划。发现所提出的方法在计算上比Ref.2中的方法更加简单和有效。 [7]和[5]。

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