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Node Selection for Cooperative Localization: Efficient Energy vs. Accuracy Trade-off

机译:合作定位的节点选择:高效能量与精度折衷

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In this paper, we present a cooperative localization algorithm for wireless sensor networks. We adopt an RSS-based localization algorithm due to its lower complexity with respect to other ranging techniques such as TOA or AOA. Since the energy consumption is a key aspect in sensor networks, we propose a node selection algorithm in order to avoid the use of all the nodes in the network for positioning purposes. Thus, we derive a practical solution tailored to the strict requirements of sensor networks in terms of complexity, size and cost. In particular, nodes in the network select the cooperating nodes by simply comparing their received RSS with a threshold. We present results based on both computer simulations and experimentation with the Crossbow IRIS motes showing that the proposed scheme offers a good trade-off in terms of position accuracy vs. energy consumption.
机译:本文介绍了一种用于无线传感器网络的协同定位算法。 我们采用基于RSS的定位算法,因为它对诸如TOA或AOA的其他测距技术的复杂性较低。 由于能量消耗是传感器网络中的关键方面,我们提出了一个节点选择算法,以避免在网络中使用所有节点以进行定位目的。 因此,我们在复杂性,尺寸和成本方面获得了对传感器网络的严格要求定制的实际解决方案。 特别地,网络中的节点通过简单地将其接收的RS与阈值进行比较来选择协作节点。 我们基于计算机模拟的结果和弩虹膜仪器的实验表明,拟议方案在位置精度与能量消耗方面提供了良好的权衡。

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