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Distributed Graph Layout for Sensor Networks

机译:传感器网络的分布式图形布局

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摘要

Sensor network applications frequently require that the sensors know their physical locations in some global coordinate system. This is usually achieved by equipping each sensor with a location measurement device, such as GPS. However, low-end systems or indoor systems, which cannot use GPS, must locate themselves based only on crude information available locally, such as inter-sensor distances. We show how a collection of sensors, capable only of measuring distances to close neighbors, can compute their locations in a purely distributed manner, i.e. where each sensor communicates only with its neighbors. This can be viewed as a distributed graph drawing algorithm. We experimentally show that our algorithm consistently produces good results under a variety of simulated real-world conditions, and is relatively robust to the presence of noise in the distance measurements.
机译:传感器网络应用程序经常需要传感器知道它们在某些全局坐标系中的物理位置。通常,这是通过为每个传感器配备一个位置测量设备(例如GPS)来实现的。但是,不能使用GPS的低端系统或室内系统必须仅根据本地可用的原始信息(例如传感器之间的距离)来定位自己。我们展示了仅能测量到近邻的距离的传感器集合如何以纯分布式方式计算它们的位置,即每个传感器仅与其邻居通信的位置。可以将其视为分布式图形绘制算法。我们通过实验表明,我们的算法在各种模拟的现实世界条件下都能始终如一地产生良好的结果,并且对于距离测量中存在的噪声相对鲁棒。

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