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A Binary Approach for Range-Free Localization

机译:无距离本地化的二进制方法

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For wireless sensor networks, ranging is a difficult option. The hardware cost, the energy expenditure, the form factor, the small range, all are difficult compromises, and it is hard to envision cheap and resource-constraint devices to make use of range-based localization solutions. In this paper, we present a novel localization approach called Binary which is range-free. Then, we compare our work via extensive simulation, with three range-based localization schemes and show that it has often better accuracy than QR-Factorization (which is an exact positioning approach) and WCL and EBTB (which are approximate positioning approaches).
机译:对于无线传感器网络,测距是一个困难的选项。硬件成本,能源支出,形状因素,小范围,一切都是困难的妥协,并且很难设想便宜的和资源约束设备,利用基于范围的本地化解决方案。在本文中,我们提出了一种名为二元的新型定位方法,这是无距离的。然后,我们通过广泛的仿真进行比较我们的工作,其中三种范围的本地化方案,并表明它通常比QR-Insionization(这是一个精确定位方法)和WCL和EBTB(这是近似定位方法)的精度更好。

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