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Cooperative localization in wireless ad hoc and sensor networks using hybrid distance and bearing (angle of arrival) measurements

机译:无线ad hoc和传感器网络中的合作定位,使用混合距离和方位(到达角)测量

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This article provides the graphical properties which can ensure unique localizability in cooperative networks with hybrid distance and bearing (angle of arrival) measurements. Furthermore, within the networks satisfying these graphical properties, this article identifies further sets of conditions so that the associated computational complexity becomes linear in the number of sensor nodes. We show how, by forming a spanning tree used once for distances and a second time for bearings where the underlying graph is connected, the localization problem can be made solvable in linear time with significantly less number of sensing links and smaller sensing radii of nodes compared with the cooperative networks with distance-only or bearing-only measurements. These easily localizable networks can be localized in polynomial time when measurements are noisy.
机译:本文提供了图形属性,可以通过混合距离和方位角(到达角)测量来确保协作网络中的独特定位性。此外,在满足这些图形属性的网络中,本文确定了更多条件集,以使相关的计算复杂度在传感器节点数量上变为线性。我们展示了如何通过形成用于距离的一次和用于连接基础图的方位的第二次使用的生成树,可以在线性时间内解决定位问题,并且传感链接数明显减少,节点的感应半径更小与合作网络一起进行仅距离或仅方位测量。当测量嘈杂时,可以在多项式时间内将这些易于定位的网络定位。

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