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首页> 外文会议>International Workshop on Mobile Entity Localization and Tracking in GPS-less Environnments >Model-Free Probabilistic Localization of Wireless Sensor Network Nodes in Indoor Environments
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Model-Free Probabilistic Localization of Wireless Sensor Network Nodes in Indoor Environments

机译：无线传感器网络节点的无无线传感器网络节点的无模式概率定位

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摘要

We present a technique that makes up a practical probabilistic approach for locating wireless sensor network devices using the commonly available signal strength measurements (RSSI). From the RSSI measurements between transmitters and receivers situated on a set of landmarks, we construct appropriate probabilistic descriptors associated with a device's position in the contiguous space using a pdf interpolation technique. We then develop a localization system that relies on these descriptors and the measurements made by a set of clusterheads positioned at some of the landmarks. The localization problem is formulated as a composite hypothesis testing problem. We develop the requisite theory, characterize the probability of error, and address the problem of optimally placing clusterheads. Experimental results show that our system achieves an accuracy equivalent to 95% < 5 meters and 87% < 3 meters.
机译：我们提出了一种技术，该技术构成了使用常用信号强度测量（RSSI）定位无线传感器网络设备的实用概率方法。从位于一组地标的发射机和接收器之间的RSSI测量中，我们使用PDF插值技术构建与设备在连续空间中的位置相关联的合适的概率描述符。然后，我们开发一个依赖于这些描述符的本地化系统和由位于某些地标处的一组集群头部进行的测量。本地化问题被制定为复合假设检测问题。我们开发了必要的理论，表征了错误的概率，并解决了最佳地放置群集头的问题。实验结果表明，我们的系统实现了相当于95％<5米和87％<3米的准确性。

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