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Quantifying the impact of scheduling and mobility on IR-UWB localization in body area networks

机译:量化调度和移动性对体积网络IR-UWB定位的影响

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In the context of radiolocation in Wireless Body Area Networks (WBANs), nodes positions can be estimated through time-based ranging algorithms. For instance, the distance separating a couple of nodes can be estimated accurately by measuring the Round Trip Time of Flight of an Impulse Radio Ultra Wideband (IR-UWB) link. This measure usually relies on two or three messages transactions. Such exchanges take time and a rapid mobility of the nodes can reduce the ranging accuracy and consequently impact nodes localization process. In this paper, we quantify this localization error by confronting two broadcast-based optimized implementations of the three-way ranging algorithm with real mobility traces, acquired through a motion capture system. We then evaluate, in the same scenarios, the impact of the MAC-level scheduling of the packets within a TDMA frame localization accuracy. The results, obtained with the WSNet simulator, show that MAC scheduling can be utilized to mitigate the effect of nodes mobility.
机译:在无线体积网络(WBANS)中的放射性分配的背景下,可以通过基于时间的测距算法估计节点位置。例如,通过测量脉冲无线电超宽带(IR-UWB)链路的往返飞行时间,可以准确地估计分隔几个节点的距离。此措施通常依赖于两种或三个消息交易。这种交换需要时间和节点的快速移动性可以降低测距精度并因此影响节点定位过程。在本文中,我们通过通过运动捕捉系统获取的实际移动性迹线面对三通范围算法的三种广播的优化实现来量化此本地化误差。然后,我们在同一场景中评估分组在TDMA帧定位精度内的MAC级调度的影响。使用WSNet模拟器获得的结果表明,可以利用MAC调度来减轻节点移动性的效果。

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