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Geolocation of Internet hosts: Accuracy limits through Cramer-Rao lower bound

机译:互联网主机的地理位置:通过Cramer-Rao下限的准确性限制

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With active IP geolocation, the position of an Internet host is estimated by measuring the network delay from a number of other hosts with known position (usually called landmarks). In particular, after having converted delays into distances, geometrical techniques like trilateration are used to provide the estimated position on a global reference system. In this paper, we derive the Cramer-Rao lower bound (CRLB) of IP geolocation. The CRLB defines a bound on the minimum mean squared error that affects any unbiased estimator. From a practical point of view, the CRLB provides insights about the maximal theoretical accuracy that can be achieved by IP geolocalization methods. The CRLB also provides conceptual tools useful to understand how the position of landmarks and their distribution affect localization performance. Results show that to obtain accuracy levels in the order of a few tens of kilometers, the number of landmarks to be involved can be relevant and/or their distance from the target cannot be too large. (C) 2018 Elsevier B.V. All rights reserved.
机译:使用活动IP地理位置,可以通过测量来自其他许多已知位置(通常称为地标)的主机的网络延迟来估计Internet主机的位置。特别地,在将延迟转换为距离之后,使用诸如三边测量的几何技术来提供全局参考系统上的估计位置。在本文中,我们推导了IP地理位置的Cramer-Rao下界(CRLB)。 CRLB定义了影响任何无偏估计量的最小均方误差的界限。从实际的角度来看,CRLB提供了有关IP地理定位方法可以达到的最大理论精度的见解。 CRLB还提供了概念工具,有助于理解地标的位置及其分布如何影响本地化性能。结果表明,要获得几十公里量级的准确度,要涉及的地标数量可能是相关的,并且/或者它们与目标的距离不能太大。 (C)2018 Elsevier B.V.保留所有权利。

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