无线传感器网络中的精确分布式节点定位算法

Julien Champ, Vincent Boudet
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引用次数: 5

摘要

研究了静态无线传感器网络中的多跳定位问题。节点的地理位置知识在这种网络中是有用的,因为它可以用于通信协议或提供检测到的事件的地理信息。本文提出了一种新颖的传感器节点定位方法——ADNL。在我们的方法中,每个传感器都知道锚节点在其k-hop邻居中的位置,以及邻居节点之间的距离,这要归功于像TDoA这样的技术。邻居中有足够锚点的节点在局部运行基于力的算法来推断自己的位置,然后转发给其他节点,使其能够定位自己。我们在各种网络拓扑、密度、锚节点数量和距离估计误差下进行了广泛的模拟,以展示我们的定位算法的准确性。ADNL算法对距离估计误差和不规则拓扑都具有较好的鲁棒性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ADNL: Accurate distributed node localization algorithm in Wireless Sensor Networks
This paper deals with the multi-hop localization problem in static Wireless Sensor Networks. The knowledge of geographical positions of nodes is useful in such networks, as it can be used in communication protocols or to provide geographical information of detected events. We present in this paper a new and original method to locate sensor nodes, named ADNL. In our method, each sensor knows anchor nodes positions in its k-hop neighborhood and also distance between neighbor nodes thanks to a technology like TDoA. Nodes with enough anchors in their neighborhood locally run a force-based algorithm so as to deduce their position, and then forward it so as to enable other nodes to locate themselves. We provide extensive simulations under various network topologies, densities, number of anchor nodes and distance estimation errors, so as to present results showing the accuracy of our localization algorithm. ADNL algorithm is shown to be particularly accurate and robust to both distance estimation errors and irregular topologies.
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