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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人体局域网中IR-UWB本地化的影响

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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:在无线体域网(WBAN)中进行无线电定位的情况下,可以通过基于时间的测距算法来估计节点位置。例如,可以通过测量脉冲无线电超宽带(IR-UWB)链路的往返飞行时间来准确估计分隔两个节点的距离。此措施通常依赖于两个或三个消息事务。这样的交换需要时间,并且节点的快速移动性会降低测距精度,并因此影响节点定位过程。在本文中,我们通过使用运动捕捉系统获取的具有真实移动性轨迹的三向测距算法的两种基于广播的优化实现,来量化此定位误差。然后,在相同的情况下,我们评估在TDMA帧定位精度内数据包的MAC级别调度的影响。使用WSNet模拟器获得的结果表明,可以使用MAC调度来减轻节点移动性的影响。

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